Sage Scholar

Category 1: Technology Science
Category 2: Science
Author: Khan Ubedulla, Sujal Santosh Sonawane
Level of study[When the Paper was Published]: Msc IT
Description: Description: This research paper focuses on cybersecurity threats and data privacy in cloud computing. It explains major security risks such as data breaches, unauthorized access, cloud misconfiguration, account hijacking, and ransomware. It also discusses security measures like encryption, multi-factor authentication, access control, and continuous monitoring. The study aims to understand cloud security challenges and suggest effective methods to protect sensitive information and maintain data privacy.
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Category 1: Science None
Category 2: None
Author: V. Subanesh Nadar, Soham Patil
Level of study[When the Paper was Published]: MSC-IT(part 1)
Description: This research paper aims to investigate the growing dependency on Artificial Intelligence tools among computer science students for academic tasks, programming, problem-solving, and learning. It focuses on understanding how frequently students use AI tools, the reasons behind their usage, and their impact on critical thinking, independent learning, coding skills, and academic performance. The study also explores the potential benefits of AI in improving learning efficiency, along with challenges such as over-reliance, reduced problem-solving abilities, and ethical concerns. The findings aim to promote a balanced and responsible use of AI tools that supports students' learning while encouraging independent thinking and technical skill development.
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Category 1: Science Science
Category 2: Science
Author: Mansi Subhash Gadade, Shaikh Rahmat Jahan
Level of study[When the Paper was Published]: MSCIT
Description: Artificial Intelligence (AI) has changed a lot over time. Earlier computer systems mainly looked for the same words in a document. New AI systems can understand the meaning of words and sentences much better
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Category 1: Technology Technology
Category 2: Technology
Author: Vemulawada Navyasri
Level of study[When the Paper was Published]: Software developer
Description: The convergence of AI-driven automation with industrial control environments is reshaping how integration projects are designed, but it is also expanding the points at which those projects are exposed to security threats. Existing research tends to treat AI-driven efficiency gains and industrial cybersecurity as separate topics, leaving a gap around the specific integration points—data ingestion, transformation, autonomous decision-making, and actuation—where the two intersect. This paper reviews the current literature on industrial automation, cybersecurity threats, and integration challenges, then proposes a research design that examines real and representative integration case studies to identify where security risk concentrates and what design-stage interventions can reduce it. The expected contribution is a combined framework that treats the integration point itself, rather than the AI model or the control system in isolation, as the primary unit of security analysis, along with practical, design-stage guidance for integration teams.
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Category 1: Psychology Business&Fianance
Category 2: Business&Fianance
Author: Kishan Gowda V, Atyab Aleem Khan, Pratiksha Pal
Level of study[When the Paper was Published]: UG 2nd year
Description: Work-life balance is now a big part of the modern workplace, especially since different generations have different ideas about what it should be. The current study analyzes trends in work-life balance and employee well-being over the past decade (2015–2024), comparing these factors between Generation Z and older employees. The research utilizes secondary data obtained from reports issued by Deloitte, Gallup, the World Health Organization, and the International Labour Organization. The study looks at important factors like job satisfaction, burnout, mental health, and average working hours to see how employee wellbeing changes over time. The findings show that even though people are working fewer hours, they are more likely to feel burned out and have mental health problems, especially after the pandemic. The comparative analysis indicates that Generation Z endures elevated stress levels and diminished job satisfaction relative to older employees, despite working fewer hours. The study concludes that work–life balance is influenced not only by working hours but also by psychological factors, workplace expectations, and socio-cultural changes, including digitalization. Along with digitalization, other changes in society and culture, like changing ideas of success, more awareness of mental health, and the rise of individualistic values, have also changed how workers see work-life balance. These changes have made the workplace more demanding, especially for Generation Z, which could lead to more stress and unhappiness. It emphasizes the necessity for organizations to embrace a more comprehensive strategy for employee well-being by prioritizing mental health, adaptability, and nurturing work environments.
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Category 1: Technology Technology
Category 2: Technology
Author: Anjali Dubey
Level of study[When the Paper was Published]: msc it
Description: This paper reviews the applications of machine learning in everyday life and examines their impact on users. It explores applications such as recommendation systems, virtual assistants, healthcare, and online services, along with their benefits, challenges, privacy concerns, and influence on daily activities.
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Category 1: Social Sciences None
Category 2: None
Author: Ahmad Fawad Mirzada
Level of study[When the Paper was Published]: Graduated High School
Description: This paper explores the role of international organizations in promoting global peace and security. It examines how organizations such as the United Nations support diplomacy, conflict prevention, peacekeeping, and international cooperation. The paper also analyzes the limitations of these organizations, including political disagreements among member states, limited resources, and challenges in implementing international decisions. It concludes that international organizations can contribute to sustainable peace when supported by political commitment, effective institutions, and cooperation among international and local actors.
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Category 1: Social Sciences None
Category 2: None
Author: Ahmad Fawad Mirzada
Level of study[When the Paper was Published]: Graduated
Description: This paper examines the importance of political education in helping young people become informed and active citizens. It explores how civic knowledge, critical thinking, classroom discussions, and digital media literacy can improve young people's understanding of political institutions and public issues. The paper also discusses challenges such as misinformation, unequal access to education, and political bias. It argues that political education should encourage independent thinking, respect for different viewpoints, and peaceful civic participation.
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Category 1: Psychology Business&Fianance
Category 2: Business&Fianance
Author: Roderick Joshua Xess
Level of study[When the Paper was Published]: 3rd Year of College
Description: The research paper titled "Emotional Intelligence in Industrial/Corporate Sectors" is written by Roderick Xess, Abhijit Doloi, Sriman Yara and Manju Rani from Apeejay Stya University. The paper examines the importance and influence of Emotional Intelligence in todays workplace environments. Methodology: The study uses an analytical approach. It relies on data collected from global reports, academic journals and published literature between the years 2016 and 2025. Sources include the World Economic Forum, Gallup, Deloitte, McKinsey and the Harvard Business Review. These materials help analyze how emotional intelligence affects outcomes in settings. Core Findings: The findings show that Emotional Intelligence plays a role in job performance managing stress, productivity and working well in teams. When comparing organizations, those with Emotional Intelligence consistently perform better than those with low Emotional Intelligence. Metrics such as employee retention, job satisfaction and stress management are stronger in EI environments. Leaders who show Emotional Intelligence are also more effective in motivating teams resolving conflicts and keeping employees engaged. Recommendations: The paper concludes that Emotional Intelligence is no longer a soft skill. It has become a core requirement, in organizations working alongside technical skills. The authors recommend that companies include Emotional Intelligence evaluations during hiring. They also suggest integrating competencies into staff training and leadership development programs. Creating an inclusive workplace culture is essential to sustain long-term success.
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Category 1: Technology Technology
Category 2: Technology
Author: Ngoni Clive Chinyani
Level of study[When the Paper was Published]: PhD
Description: The research paper aims at the analysis of numerous common rail injector parameters that may affect the durability of the injector and how factors like vibration resonance impact the performance of the injector and accelerate degradation.
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Category 1: Law&Governance None
Category 2: None
Author: Davidson Kuegbesika
Level of study[When the Paper was Published]: Undergraduate
Description: This study examined corporate governance and risk management as strategic tools for fraud prevention and organisational effectiveness among selected Ghanaian firms, addressing a gap in the literature where governance and risk management are typically studied separately, or treated as compliance exercises rather than as strategic capabilities operating jointly across sectors.
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Category 1: Psychology None
Category 2: None
Author: Anvita Goidani
Level of study[When the Paper was Published]: 12
Description: Autism spectrum disorders (ASD) is a wide range of disorders that falls under the umbrella of neurodevelopmental disorders. These are conditions affecting brain function which become noticeable early in childhood . This paper uses a case study to observe the behavior of someone struggling with this disoder.
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Category 1: Law&Governance Social Sciences
Category 2: Social Sciences
Author: Shreya Kaushik
Level of study[When the Paper was Published]: undergraduate
Description: This article examines the decline of legislative scrutiny in India’s Parliament and its consequences for democratic representation. While the Parliament continues to enact laws, processes like floor debate, committee referral, questioning, and public consultation have narrowed. The article argues that reduced scrutiny weakens representation by limiting the ability of Members of Parliament, experts, and affected communities to question, amend, and shape legislation. It contends that law-making without meaningful deliberation produces a thinner form of representation: laws may command formal majorities, but those most affected may have little opportunity to be heard before enactment.
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Category 1: Social Sciences Business&Fianance
Category 2: Business&Fianance
Author: Emmanuel Lotirema Iko
Level of study[When the Paper was Published]: -
Description: Abstract Self-control is a psychological capacity relevant to resisting immediate rewards, delaying gratification, and aligning consumption with longer-term financial goals. This paper reviews evidence on self-control and spending behaviour, with particular attention to impulse buying, cashless payments, financial well-being, financial literacy, digital commerce, and algorithmic/AI-enabled marketing. It uses a narrative evidence-review approach and secondary data from peer-reviewed meta-analyses, empirical studies, and the World Bank’s Global Findex Database. Country and regional comparisons are reported for Global Findex survey waves from 2011, 2014, 2017, and 2021. These indicators measure access to financial accounts—not self-control or impulsive spending—and are therefore used only to describe the changing financial and digital context in which spending occurs. A meta-analysis of 392 effect sizes from 71 papers found a small, statistically significant cashless effect (Hedges’ g = 0.135), while an India-specific quasi-experimental study reported that a 10-percentage-point difference in pre-demonetisation cash dependence was associated with a 2.38% increase in monthly spending after the forced shift toward digital payments. The review concludes that spending behaviour reflects interactions among self-regulation, payment salience, emotional states, financial knowledge, social context, and marketing design. Evidence does not justify treating financial inclusion, digital-payment adoption, or exposure to AI as direct measures of poor self-control. The paper proposes practical interventions and identifies the need for longitudinal, cross-country studies that measure actual spending and AI exposure directly. Keywords: self-control; spending behaviour; impulse buying; digital payments; financial well-being; financial literacy; algorithmic marketing; artificial intelligence; Global Findex
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Category 1: Technology Social Sciences
Category 2: Social Sciences
Author: Tanvi Patil
Level of study[When the Paper was Published]: MSc IT
Description: This research paper studies the impact of short videos and reels on daily life, especially among students. It focuses on daily viewing habits, time spent watching reels, concentration, academic performance, sleep, entertainment, and learning. The study uses a questionnaire through Google Forms to collect data and analyzes responses using tables, percentages, and charts. The research aims to understand both the positive and negative effects of short videos and suggest ways to maintain balanced social media usage.
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Category 1: Social Sciences Humanities
Category 2: Humanities
Author: Jasmina
Level of study[When the Paper was Published]: -
Description: Teachers play an important role in students’ academic achievement, personal development, and emotional well-being. Their responsibilities extend beyond delivering subject knowledge, as they also motivate students, provide guidance, and create a supportive learning environment. Positive teacher–student relationships can help learners develop confidence, improve classroom participation, and prepare for future academic and professional challenges.
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Category 1: Psychology Technology
Category 2: Technology
Author: Akol Nyok Deng Tol
Level of study[When the Paper was Published]: 3rd Year University
Description: This paper describes a small exploratory comparison of students’ self-reported sleep during periods of usual, heavier smartphone use and reduced use, including less phone use in bed. The project was initially planned as a survey of approximately 40–50 students, but that survey was not conducted and no data were collected from it. Instead, 11 people took part in an informal comparison; one later withdrew permission for their answers to be used, leaving 10 usable sets of responses. Eight of the 10 participants reported better sleep during the period of reduced use. Two participants (B and D) reported that having a phone in bed helped distract them from personal thoughts and overthinking that otherwise made it difficult to fall asleep. Two participants reported discomfort when reducing phone use, while the other eight reported no distress. Fear of missing out (FOMO) was the reason mentioned most often for heavy phone use, but the number of participants who mentioned it was not recorded. Because the procedure was informal, the outcomes were self-reported, and the sample was very small, the findings are descriptive and tentative. They do not establish that reducing smartphone use caused changes in sleep and should not be generalised beyond this group. A larger, more systematic survey is proposed for future work. Keywords: smartphone use, sleep quality, university students, fear of missing out, exploratory study
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Category 1: Technology None
Category 2: None
Author: Anil Kumar
Level of study[When the Paper was Published]: Undergraduate
Description: Preparing for an interview often involves search- ing across several websites, selecting questions that match a across target role, and deciding how an answer could be improved. InterviewAI brings these activities into one web application. A user can sel , interview type, difficulty level, and question count; provide resume text as context where supported; practise with generated questions swer feedback; and revisit earlier practice activity. The application combines a React frontend, a FastAPI backend, MongoDB storage, and a generative AI service with a predefined fallback question bank. This paper describes the system architecture, major modules, request workflow, and an evaluation plan for checking the application. It also discusses limitations related to resume extraction, variable AI output, and t alidate feedback quality. Verified benchmark mea study resu ailable when this draft was prepared: ther aim ccuracy or improvement in interview performance. The proposed tests identify practical
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Category 1: Technology Law&Governance
Category 2: Law&Governance
Author: Pradnya Samadhan Patil
Level of study[When the Paper was Published]: -
Description: Abstract: In recent times, artificial intelligence (AI) has become commonplace in the fields of education, employment, public services, healthcare, and everyday communication. While the ethical principles of transparency, accountability, privacy, and fairness are extensively considered, their actual implementation proves difficult. The paper explores the topic of responsible AI development by analyzing three articles: the sociotechnical criticism of technology ethics provided by Green; the empirical work by Khan et al. on practitioners and law makers’ perspectives on ethical principles of AI development; and the white paper by McStay et al. regarding empathic human–AI partnering and cultural differences. The analysis of the aforementioned sources allows proposing a possible framework for responsible development of AI with the help of a qualitative literature review. The synthesis reveals the following implementation challenges: the need to allocate specific responsibilities; organizational engagement; involvement of stakeholders; continuous monitoring and enforcement. In the case of AI technologies that simulate empathy, additional challenges are disclosure, dependency, manipulation and culturally diverse expectations.
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Category 1: Psychology Business&Fianance
Category 2: Business&Fianance
Author: Harshita Bakshi
Level of study[When the Paper was Published]: 11
Description: Employees work harder when they feel treated fairly. Research shows that fair pay, fair decisions and respectful treatment build trust, commitment and well-being (Colquitt et al., 2013). Equity Theory explains that people compare their rewards with others' (Adams, 1965), and Self-Determination Theory shows that fairness supports the needs for freedom, skill and belonging (Ryan & Deci, 2000). Culture changes what "fair" looks like (Fischer & Smith, 2003), but the need for respect is shared. Most studies show links, not proof of cause.
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Category 1: Social Sciences Other
Category 2: Other
Author: S Ravichandran
Level of study[When the Paper was Published]: Research Scholar in Cryptography
Description: The same rise in prices does not cost every household the same. This paper uses an illustrative simulation of four Indian families earning Rs 300, Rs 500, Rs 1,000 and Rs 2,000 a day, each facing the same basic basket of food and essentials (Rs 285 a day) and the same minimum health and transport need (Rs 40 a day). At 0 per cent price rise the low-income family already falls Rs 25 a day short; a 20 per cent rise widens the gap to Rs 90 a day, or Rs 2,700 a month, which must be borrowed. The middle-income family loses 37 per cent of the money left after essentials, the upper-middle-income family 10 per cent and the high-income family 4 per cent. Borrowing the gap at 2 per cent a month leaves the low-income family about Rs 36,000 in debt after one year. A money wage rising 3 per cent a year against prices rising 6 per cent erodes the real wage by 13 per cent in five years. The paper places these results within the concept of inflation, Engel's Law, the Public Distribution System (PDS) and the state's monetary, administrative, trade and supply-side instruments. It identifies three gaps: inflation is regressive; the protection the PDS offers on paper is larger than what reaches households, because of poor grain quality and diversion; and India's food-security system protects against hunger but not against price shocks in vegetables, pulses, milk and protein. It recommends a price index built on the spending pattern of poor households, minimum-wage dearness allowances linked to it and enforced, better PDS quality and a wider basket, wage growth tied to productivity, and faster, evidence-based action against hoarding and diversion. The numbers are illustrative; testing them with official survey data is set out as the next step.
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Category 1: Science Mathematics
Category 2: Mathematics
Author: S Ravichandran Ayyer
Level of study[When the Paper was Published]: Research Scholar
Description: This paper concerns cryptographic keys only, not a new cipher. It presents SAKF, a Self-Adaptive Key Framework in which no key ever crosses the network and every message is protected by a different key. SAKF has four layers. Layer 0 establishes a root secret from a passphrase (PBKDF2-HMAC-SHA256, 600,000 iterations) or an X25519 key agreement. Layer 1, the "invisible key", uses HKDF-SHA256 to derive keys on both sides, bound to the session, a circumstance label, the message counter and the sending time. Layer 2 is a symmetric ratchet that erases each chain key after use, giving forward secrecy, and stores skipped keys so that lost and out-of-order messages are handled. Layer 3, HTAL-K, applies the author's Hidden Text Architecture Layer to a 256-bit key-confirmation tag: in every byte one bit is withheld and never transmitted, and the remaining seven bits are rotated, with position and rotation changing per byte and per message. The framework was implemented in Python and C++ and evaluated with standard test vectors (RFC 4231, RFC 5869), 21 functional and security checks, avalanche tests, the NIST SP 800-22 statistical tests on 51,200 derived keys, and a dedicated evaluation of HTAL-K. All checks passed; the Python and C++ implementations agree on all 22 known-answer values; one bias defect in the HTAL-K rotation was found by the tests and corrected. The paper states plainly what the evaluation does and does not show: HTAL-K provides key confirmation equivalent to a 224-bit truncated MAC but adds no secrecy beyond the key, the ratchet does not recover from a compromise without a Diffie-Hellman step, and no formal proof or independent cryptanalysis has yet been carried out.
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Category 1: Science Mathematics
Category 2: Mathematics
Author: S Ravichandran
Level of study[When the Paper was Published]: Research scholar in Cryptography
Description: We present UASCF Nano Cipher 2026, a symmetric cipher that operates in a 1024-dimensional ternary lattice space and introduces two novel security mechanisms: an AI-driven invisible nano position selector and a PBKDF2 Shield Key. The nano position—one of 1024 positions indexed at the scale of 10nn—is chosen deterministically by an HMAC-SHA3-512 computation over the secret ghost key and a message fingerprint, making it effectively invisible to any attacker who does not possess the ghost key. The shield key is derived via PBKDF2-HMAC-SHA256 with 100,000 rounds, binding the ghost key, user key, and nano position into a single cryptographic primitive that rate-limits any brute-force attack to approximately 7.7 attempts per second on modern hardware. We report comprehensive empirical security evaluations conducted on an Android ARM64 device (aarch64, Python 3.13.13): all eight security tests—collision resistance, avalanche effect, key sensitivity, nonce sensitivity, statistical uniformity, nano position sensitivity, differential analysis, and brute-force cost—return PASS with results closely matching the theoretical ideal for a ternary system (66.67% trit-difference). The effective keyspace is 3¹n²n » 10nnn (1623-bit equivalent), surpassing AES-256 by a factor of 6.3× in bit security
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Category 1: Humanities Law&Governance
Category 2: Law&Governance
Author: Rimjhim Kumari
Level of study[When the Paper was Published]: Undergraduate
Description: India adopted universal adult franchise despite widespread illiteracy, poverty and limited experience with electoral democracy. This decision raises an important question: why did the Constitution-makers extend voting rights to all adult citizens immediately rather than wait for greater political experience or educational development? Drawing on selected Constituent Assembly Debates and scholarship on the making of Indian democracy, this paper examines the competing arguments surrounding the adoption of universal adult franchise. It focuses on the contrasting positions of R. K. Sidhwa, H. N. Kunzru and Alladi Krishnaswami Ayyar to explore the tension between preparing citizens for democracy and recognising their political equality from the outset. The paper argues that the decision reflected a willingness to accept the risks of mass participation rather than make political rights conditional on education, property or social status. It also considers the possible consequences of delaying universal franchise in a society marked by entrenched inequalities, while acknowledging that this alternative outcome cannot be established with certainty.
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Category 1: Science Other
Category 2: Other
Author: S Lirshath
Level of study[When the Paper was Published]: 11
Description: Positional memory of own hypothesis researched on bio
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Category 1: Technology Health
Category 2: Health
Author: Kartik D. Ghuge, Diksha S Joshi
Level of study[When the Paper was Published]: M.Sc. Information Technology
Description: This research paper presents an AI-based facial skincare analysis and recommendation system using MobileNetV2 to classify five skin-related categories: acne, blackheads, dark spots, pores, and wrinkles. The system integrates image analysis, a skincare questionnaire, personalized skincare recommendations, and product-order management. The model achieved 87.00% accuracy on a validation set of 400 images. These results are limited to the evaluated dataset and do not establish clinical validity.
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Category 1: Technology Business&Fianance
Category 2: Business&Fianance
Author: Mubashira Farid Khan, Smitha Mangesh Junnarkar
Level of study[When the Paper was Published]: Undergraduate
Description: This is a comparative and conceptual study on customer segmentation approaches.
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Category 1: Technology None
Category 2: None
Author: Darpan Navnath Gowari, Sakshi Shashikant Bhosale
Level of study[When the Paper was Published]: MSc Information Technology
Description: This research paper analyses Mumbai's published IPC crime statistics for 2022 and 2023. It compares registered cases, detected cases, and detection rates across crime categories. The study presents descriptive findings and discusses the limitations of using aggregated annual data for machine-learning prediction.
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Category 1: Technology Other
Category 2: Other
Author: Gaurang , Kalpesh , Yash , Samarth
Level of study[When the Paper was Published]: Computer Engineering 3rd year
Description: This survey paper reviews traditional paper-based, desktop ERP, and cloud-based construction management tools and identifies their weaknesses in data integrity, real-time collaboration, and auditability. It identifies a research gap and proposes a 5-layer architecture with role-based access control, milestone and supply chain automation, SHA-256 hashed audit logging, and a client audit portal. It also covers security, challenges such as poor site connectivity, and future scope with IoT and AI.
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Category 1: Psychology Business&Fianance
Category 2: Business&Fianance
Author: Kishan Gowda V, Atyab Aleem Khan, Pratiksha Pal
Level of study[When the Paper was Published]: 2nd year
Description: Work-life balance is now a big part of the modern workplace, especially since different generations have different ideas about what it should be. The current study analyzes trends in work-life balance and employee well-being over the past decade (2015–2024), comparing these factors between Generation Z and older employees. The research utilizes secondary data obtained from reports issued by Deloitte, Gallup, the World Health Organization, and the International Labour Organization. The study looks at important factors like job satisfaction, burnout, mental health, and average working hours to see how employee wellbeing changes over time. The findings show that even though people are working fewer hours, they are more likely to feel burned out and have mental health problems, especially after the pandemic. The comparative analysis indicates that Generation Z endures elevated stress levels and diminished job satisfaction relative to older employees, despite working fewer hours. The study concludes that work–life balance is influenced not only by working hours but also by psychological factors, workplace expectations, and socio-cultural changes, including digitalization. Along with digitalization, other changes in society and culture, like changing ideas of success, more awareness of mental health, and the rise of individualistic values, have also changed how workers see work-life balance. These changes have made the workplace more demanding, especially for Generation Z, which could lead to more stress and unhappiness. It emphasizes the necessity for organizations to embrace a more comprehensive strategy for employee well-being by prioritizing mental health, adaptability, and nurturing work environments.
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Category 1: Science Technology
Category 2: Technology
Author: Shakti Kumaran
Level of study[When the Paper was Published]: -
Description: Deforestation and biodiversity loss remain among the most pressing environmental challenges of the twenty-first century, driven by agricultural expansion, illegal logging, infrastructure development, and climate change. Traditional conservation monitoring, which relies heavily on manual field surveys and periodic aerial inspection, is often too slow and too coarse to keep pace with the rate of ecosystem degradation. This paper examines how data science techniques, including satellite remote sensing, machine learning classification, predictive modeling, and network analysis, are being applied to detect deforestation in near real time, forecast biodiversity risk, and prioritize conservation interventions. Drawing on peer-reviewed literature, open datasets such as Global Forest Watch and the IUCN Red List, and case studies from the Amazon, the Congo Basin, and Southeast Asia, the paper evaluates the strengths, limitations, and ethical considerations of current approaches. It concludes that while data-driven methods substantially improve the speed and precision of conservation monitoring, their impact depends on integration with policy enforcement, community engagement, and continued investment in open, high-resolution environmental data infrastructure.
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Category 1: Technology Science
Category 2: Science
Author: Vikas Dattatray Chavan
Level of study[When the Paper was Published]: BSC DATA SCIENCE(3RD YEAR)
Description: This study explores the challenges of implementing Artificial Intelligence (AI) and Big Data in the sports industry. It examines applications such as athlete performance analysis, injury assessment, talent identification, tactical analysis, and fan engagement. Using a qualitative review of existing academic and industry literature, the paper identifies key barriers, including data quality, infrastructure, implementation costs, lack of skilled professionals, privacy, security, ethical concerns, and organizational resistance. It also discusses research gaps and the importance of responsible technology adoption in sports.
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Category 1: Psychology Law&Governance
Category 2: Law&Governance
Author: Duku Emmanuel Kenyi Joseph
Level of study[When the Paper was Published]: Undergraduate
Description: Description of the Research Paper This research paper examines the relationship between criminal psychology and criminal liability under Indian law. It explores how psychological, cognitive, emotional, developmental, social, and environmental factors may influence criminal behaviour and how these factors are considered within the Indian criminal justice system. The study analyses major psychological theories of criminal behaviour, including behavioural learning, social learning, cognitive perspectives, personality theories, and developmental approaches. It also examines the distinction between understanding the psychological reasons behind an offence and determining an individual’s legal responsibility for committing it. Particular attention is given to the Bharatiya Nyaya Sanhita, 2023 (BNS), especially Sections 22, 23, and 24 concerning unsoundness of mind and intoxication, as well as Section 39 of the Bharatiya Sakshya Adhiniyam, 2023 (BSA), which addresses expert opinions. The paper further discusses the role of psychological evidence in criminal investigations, eyewitness identification, expert testimony, risk assessment, and offender rehabilitation. Using a qualitative, doctrinal, and literature-based methodology, the research draws upon relevant statutory provisions, judicial decisions, psychological theories, and published empirical studies. It emphasises that psychological conditions and risk factors may help explain behaviour but do not automatically establish guilt or exempt a person from criminal liability. The paper concludes that integrating reliable psychological knowledge into the administration of criminal justice can improve the fairness of investigations and trials, support evidence-based rehabilitation, and protect individual rights. It recommends a balanced approach in which psychological expertise assists the courts while the final determination of criminal liability remains a legal responsibility.
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Category 1: Social Sciences Health
Category 2: Health
Author: Ferdaousse El Marjani
Level of study[When the Paper was Published]: High School
Description: This research explores the scientific explanations behind dreams and nightmares and their relationship with brain activity, emotions, sleep, and physical responses. Dreams occur during sleep, especially during REM (Rapid Eye Movement) sleep, when brain activity is relatively high. They involve memories, emotions, images, and sensations. Nightmares are frightening dreams that may be associated with stress, anxiety, traumatic experiences, or sleep disturbances. During dreams and nightmares, the body may experience changes in heart rate, breathing, and other physiological responses. During REM sleep, most voluntary muscles temporarily lose their normal activity, which helps prevent people from physically acting out their dreams. Dreams remain a complex scientific subject, and researchers are still investigating why they occur and how the brain creates them. Understanding dreams and nightmares can help us learn more about the connection between the brain, emotions, and the human body.
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Category 1: Science Technology
Category 2: Technology
Author: Amaan Momin
Level of study[When the Paper was Published]: Tybscda
Description: Description of the Research Paper Title: Pre-Emptive Crop Insurance Claim Rejection Prediction using NLP and Risk Modeling: A Case Study on PMFBY (India) This research paper proposes an AI-based framework to predict the risk of crop insurance claim rejection under the Pradhan Mantri Fasal Bima Yojana (PMFBY). The main objective is to identify potential problems in a farmer's insurance claim at an early stage, before the final assessment, so that errors can be corrected and unnecessary claim rejections can potentially be avoided. The proposed system combines Natural Language Processing (NLP) with machine learning and structured risk analysis. NLP is intended to analyse farmer complaints, claim descriptions, and surveyor remarks in multiple Indian languages. The risk model combines this information with structured details such as crop type, insurance policy information, claim intimation timing, premium status, and missing documents. The framework aims to identify common risk factors, including late claim intimation, incomplete documentation, incorrect farmer details, and crop eligibility issues. It also proposes explainable predictions, with simple recommendations that help farmers and officials understand and address potential problems. An important feature of the proposed framework is that it is designed to assist farmers rather than automatically reject insurance claims. Human review, fairness, data privacy, and transparent decision-making are central to the approach. The current paper presents a proposed methodology rather than a completed experimental study. It does not report model accuracy or verified performance on real PMFBY claim data. Future work will require access to appropriate claim-level datasets to train, test, and validate the framework. Overall, the research aims to explore how artificial intelligence, NLP, and risk modeling could support more transparent, timely, and farmer-friendly crop insurance claim processing in India.
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Category 1: Social Sciences Humanities
Category 2: Humanities
Author: Nasreen
Level of study[When the Paper was Published]: Masters in History
Description: This paper is about my professor, who had red hair.
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Category 1: Science Technology
Category 2: Technology
Author: Surya Subramani
Level of study[When the Paper was Published]: B.Sc
Description: The increasing use of automated paraphrasing tools in academic writing has created new challenges for conventional plagiarism detection systems. While such tools can assist students in improving language, sentence structure, and readability, they can also be misused to transform copied content while retaining its underlying meaning. This study examines the impact of paraphrasing tools on the effectiveness of plagiarism detection, with particular emphasis on the limitations of conventional text-matching approaches and the potential of semantic analysis. A literature-based methodology was adopted to examine existing research on plagiarism detection, automated paraphrasing, semantic similarity, natural language processing, and academic integrity. The study finds that substantial paraphrasing can reduce detectable lexical overlap, making purely word-based detection less effective even when the relationship between the original and modified text remains strong. Semantic similarity techniques, contextual language representations, source retrieval, and linguistic analysis can provide additional evidence by examining meaning and contextual relationships rather than relying solely on identical words. The study further emphasizes that similarity scores should not be interpreted as direct measures of plagiarism and that human evaluation remains important when determining whether the use of source material constitutes inappropriate academic practice. The findings support a hybrid approach that combines conventional text matching with semantic and contextual analysis. The study also discusses future research opportunities involving multilingual detection, explainable plagiarism-detection systems, and evaluation against increasingly sophisticated AI-based paraphrasing tools. Keywords:Paraphrasing Tools, Plagiarism Detection, Semantic Similarity, Natural Language Processing, Academic Integrity, Artificial Intelligence, Text Similarity.
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Category 1: Science Technology
Category 2: Technology
Author: Jayaguru Nadar
Level of study[When the Paper was Published]: Third year
Description: This research uses machine learning to predict household water consumption and identify inefficient usage patterns. It aims to provide smart recommendations to reduce water wastage and promote efficient water management.
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Category 1: Technology Other
Category 2: Other
Author: Anshika Singh
Level of study[When the Paper was Published]: Graduated
Description: The rapid adoption of online learning and digital recruitment has increased the need for reliable, secure, and scalable technical assessment systems. Conventional online assessment platforms often face challenges related to unauthorized access, examination integrity, client-side manipulation, limited administrative control, and the lack of meaningful post-assessment feedback. This paper presents AbhyasAI, a full-stack web-based technical assessment platform designed to address these challenges through secure test execution, server-authoritative evaluation, and AI-assisted performance analysis. The proposed system integrates a React-based frontend with a Node.js and Express backend, MongoDB for persistent data management, JWT-based authentication, and browser-level controls such as fullscreen enforcement, tab-switch monitoring, camera access, and submission validation. Assessment results are evaluated on the server side to reduce dependence on client-side calculations and prevent unauthorized modification of scores. The platform further integrates Azure AI Foundry to analyze assessment outcomes and generate structured feedback covering overall performance, strengths, weaknesses, areas for improvement, and personalized recommendations. The implemented system was evaluated using 95 real student assessment records collected across second-, third-, and fourth-year cohorts. The overall mean score was 65.30%, with 66.06% of all questions answered correctly. The results demonstrate the platform's practical applicability for conducting centralized technical assessments and generating automated performance insights. The study also discusses the system architecture, security considerations, privacy aspects, limitations, and future extensions for adaptive assessment and advanced AI-driven learning support.
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Category 1: Social Sciences Psychology
Category 2: Psychology
Author: Sebania Tony Brankinos
Level of study[When the Paper was Published]: Bachelor Of Commerce(Accounting And Finance)
Description: Publish the research paper
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Category 1: Science Health
Category 2: Health
Author: Poonam Rathod
Level of study[When the Paper was Published]: 12
Description: This research paper explores why cancer treatments sometimes stop working and how cancer cells develop resistance to different therapies. It examines key molecular mechanisms involved in drug resistance, including changes in cellular signaling, drug transport, DNA repair, and tumor heterogeneity. It also discusses emerging research strategies, such as combination therapies, molecular profiling, and targeted approaches, that may help overcome treatment resistance. By understanding these mechanisms, the paper highlights the importance of continued research in developing more effective and personalized cancer treatments.
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Category 1: Technology Business&Fianance
Category 2: Business&Fianance
Author: Sahil Rajpure
Level of study[When the Paper was Published]: Tybsc
Description: Machine learning techniques are used to identify fraudulent credit card transactions by analyzing transaction data and detecting unusual patterns. Algorithms such as Logistic Regression, Decision Trees, Random Forest, and Support Vector Machines (SVM) can classify transactions as legitimate or fraudulent. These techniques help banks and financial institutions detect fraud quickly, reduce financial losses, and improve transaction security.
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Category 1: Social Sciences Technology
Category 2: Technology
Author: Ochen Godfrey Yensuk, Reat Bol Ngundeng, Dr. Manju Rani
Level of study[When the Paper was Published]: Undergraduate 3yr
Description: Artificial Intelligence (AI) is increasingly transforming modern workplaces by offering data-driven tools that have the potential to reduce systemic bias and promote fairness across key human resource functions, including recruitment, performance evaluation, and employee support systems. While AI-powered tools can anonymise candidate data, standardise evaluation metrics, and personalise employee wellness programmes, ethical oversight remains essential to ensure equitable outcomes and prevent the inadvertent replication of algorithmic biases rooted in historically skewed training data. This paper examines the mechanisms through which AI can address workplace bias, analyses the limitations and ethical challenges inherent in algorithmic decision-making, and argues that meaningful fairness in organisational contexts requires the integration of transparent data practices, continuous human oversight, and robust accountability frameworks.
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Category 1: Technology Science
Category 2: Science
Author: Pranoy Paul
Level of study[When the Paper was Published]: A
Description: Nanotechnology is an interdisciplinary area of science that studies and applies materials at extremely small dimensions, generally between 1 and 100 nanometres. Materials at this scale can behave differently from the same substances in larger forms because of their large surface area and nanoscale physical effects. These properties have created opportunities in healthcare, electronics, energy, environmental protection, agriculture, and manufacturing. This paper examines the basic principles of nanotechnology, its major applications, advantages, limitations, and possible future development. It argues that nanotechnology could help address important medical, industrial, and environmental problems, but its progress must be accompanied by careful safety testing, environmental monitoring, ethical decision-making, and responsible regulation.
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Category 1: Social Sciences Law&Governance
Category 2: Law&Governance
Author: Shreya
Level of study[When the Paper was Published]: 2nd year
Description: Based on Article 21, the child labour law, comparisons with other countries and the dangers posed by AI-generated images, the article advocates for a child's right to withdraw, erase and take back control of their digital footprint.
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Category 1: Technology Humanities
Category 2: Humanities
Author: Shravani Rajesh Warang
Level of study[When the Paper was Published]: TY BSC DS
Description: This research studies how Artificial Intelligence is transforming education through personalized learning, smart teaching tools, automated assessment, and student support. It also examines the benefits, challenges, ethical issues, and future role of AI in education.
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Category 1: Technology Law&Governance
Category 2: Law&Governance
Author: Smita Mangesh Junnarkar; Neeraj S. Dontual
Level of study[When the Paper was Published]: TY BSC DS
Description: A review of machine learning and natural language processing methods for identifying and prioritizing potentially risky provisions in commercial contracts. The paper surveys legal-language models and public datasets, then proposes an evidence-grounded, human-supervised framework and evaluation plan. It is a review and proposed methodology; it reports no new experiments.
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Category 1: Science Health
Category 2: Health
Author: Samiksha Waghmare
Level of study[When the Paper was Published]: TyBsc-DS
Description: This research paper, titled **“The Role of Data Science in Healthcare,”** explains how Data Science, Artificial Intelligence, and Machine Learning help improve healthcare services. It discusses their applications in disease prediction, medical diagnosis, medical imaging, and patient care. The paper also compares seven machine learning models using the Breast Cancer Wisconsin (Diagnostic) dataset to classify breast masses as benign or malignant. It highlights the benefits of Data Science in healthcare, along with challenges such as data privacy, security, and accuracy. The study concludes that Data Science can make healthcare more efficient, accurate, and patient-centred.
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Category 1: Other Other
Category 2: Other
Author: Arjit Tarkar
Level of study[When the Paper was Published]: TYBSC
Description: This research paper examines the impact of Artificial Intelligence (AI) tools on the study habits of college students. It explores how students use AI tools such as ChatGPT for understanding difficult concepts, summarizing notes, generating practice questions, improving writing, coding, and preparing assignments. The study focuses on the relationship between AI usage and students’ independent learning, revision habits, study time, concentration, information verification, and perceived learning effectiveness. It also highlights the benefits of AI as a personalized learning assistant and the possible risks of excessive dependence on AI, including reduced independent thinking and weaker knowledge retention. The paper proposes a mixed-method research approach using questionnaires and descriptive analysis. It includes illustrative results from a simulated dataset of 120 hypothetical students to demonstrate data presentation, analysis, and visualization. These results are for academic demonstration and do not represent an actual student survey. Finally, the research recommends responsible AI usage, independent problem-solving, verification of AI-generated information, and active learning practices. The paper concludes that AI should be used as a supportive educational tool rather than a replacement for students’ own thinking and learning.
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Category 1: Psychology Other
Category 2: Other
Author: Anvita Goidani
Level of study[When the Paper was Published]: 12
Description: Discussion about peer pressure and to understand the presence, types, intensity, and effects of peer pressure across different age groups, and to analyse how individuals perceive, respond to, and cope with peer influence in their day-to-day lives.
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Category 1: Technology Other
Category 2: Other
Author: Pranit Gopale , Tejas Shelke , Akash Giri
Level of study[When the Paper was Published]: Msc cs
Description: Agriculture plays a vital role in the Indian economy, but farmers often face challenges in obtaining fair prices for their agricultural products due to market price fluctuations, limited access to real-time information, and differences between local and urban market prices. This research paper, titled “Agricultural Market Price Analysis and Recommendation System Using Data Analytics,” focuses on analyzing agricultural commodity prices across different markets to identify price variations, trends, and potential selling opportunities. The proposed system utilizes agricultural market datasets, including historical commodity prices, market locations, minimum prices, maximum prices, and modal prices. Data preprocessing, statistical analysis, and visualization techniques are applied to identify market trends and compare commodity prices across regions. The system aims to provide data-driven recommendations that help farmers identify potentially profitable markets for selling their produce. The research also explores how data analytics can improve price transparency, reduce information gaps, and support informed agricultural decision-making. By comparing local and urban market prices, the proposed approach seeks to help farmers understand market conditions and improve their selling strategies. The expected outcome of this research is a practical, accessible, and data-driven agricultural market price recommendation framework that supports farmers in making better marketing decisions and potentially improving their income.
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Category 1: Technology None
Category 2: None
Author: Dhanesh N
Level of study[When the Paper was Published]: Bsc.Data Science
Description: This paper presents NOVA, a Windows desktop AI voice assistant designed as a hybrid local-cloud system. Voice-based interaction provides a natural alternative to traditional graphical desktop interaction, but a useful desktop assistant must do more than recognize speech or generate conversational text. It must identify the user’s intended operation, select an appropriate execution path, safely perform the requested action, and provide understandable feedback. NOVA combines speech input, text interaction, rule-based intent detection, deterministic Windows automation, cloud generative AI, external API integration, persistent memory, and a graphical user interface. The central research question concerns whether a lightweight rule-based intent detector can reliably recognize naturallanguage desktop commands when users express the same action using different paraphrases. The implemented system contains 37 predefined command-intent categories covering system controls, media, applications, files, information retrieval, weather, computer control, AI conversation, and memory-related interaction. A controlled evaluation contains 117 commands: an initial set of 60 commands and 57 previously unseen paraphrased commands. The rule-based detector achieved 100% accuracy on the 57 unseen commands and 100% overall accuracy across the 117-command evaluation after equivalent media-intent labels were normalized. A TF-IDF plus Logistic Regression baseline achieved 38.60% accuracy and 21.02% macro F1 on the same 57-command test set. The findings indicate that, within the evaluated command vocabulary and paraphrase patterns, deterministic rules provided highly consistent intent recognition. The result is not interpreted as proof that rule-based systems universally outperform machine-learning or neural approaches. Instead, it demonstrates the suitability of a transparent, low-cost rule layer for a constrained desktop command domain.
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Category 1: Technology Other
Category 2: Other
Author: Meet Patel
Level of study[When the Paper was Published]: 7th sem
Description: The traditional description of a compiler as a pipeline of lexical analysis, syntax analysis, semantic analysis, intermediate code generation, optimization, and code generation is a cornerstone of compiler education [1], [2]. The model explains what each stage does, but it does not say how much each stage costs. Students therefore often assume that scanning and parsing, the first stages they study in detail, are where a compiler spends its effort.
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Category 1: Technology Technology
Category 2: Technology
Author: Shirly Rajadurai
Level of study[When the Paper was Published]: BSC DATA SCIENCE
Description: Building a supervised machine-learning model by hand requires a long chain of decisions: how to clean the data, how to scale and encode features, whether to reduce dimensionality, which algorithm to use, and how to set its hyper-parameters. Automated machine learning (AutoML) aims to make these decisions with a search procedure instead of manual trial and error. This paper reviews how an AutoML builder pipeline is organised, describes a transparent seven-stage reference pipeline implemented in Python with scikit-learn, and evaluates it experimentally.
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Category 1: Science Science
Category 2: Science
Author: Kshiraj Gidwani
Level of study[When the Paper was Published]: 12
Description: Polypharmacy refers to the concurrent use of five or more medications, a practice that is becoming common among elderly individuals due to multiple chronic conditions. While polypharmacy may improve clinical outcomes in some cases, it is also associated with increased hospitalisation, healthcare costs, and physiological and probably even psychological complications. This paper examines how polypharmacy affects homeostasis, with a specific focus on renal and cardiovascular systems in elderly patients. Age-related decline in organ function reduces the body’s ability to maintain internal stability when exposed to multiple medications. Both acute and chronic homeostatic responses may be impaired, leading to disturbances in fluid balance, blood pressure regulation, and even waste excretion. Understanding the impact of polypharmacy on renal and cardiovascular homeostasis is essential for improving patient safety and optimising treatment strategies. This review highlights the importance of careful medication management to minimise adverse effects while maintaining therapeutic benefit.
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Category 1: Science Science
Category 2: Science
Author: S Ravichandran
Level of study[When the Paper was Published]: Research scholar in Cryptography
Description: We present NEW-CIPHER v0.2-B, a substitution–permutation network (SPN) block cipher with a 512-bit block, a 256-bit key and 14 rounds. Every constant of the cipher — the affine layer of the S-box, the 8×8 diffusion matrix, and all key-schedule constants — is derived with SHA-256 from a single public seed string containing the Tamil word தமி ழ்" , so that anyone can regenerate and check them. The S-box is affine-equivalent to inversion in GF(28) and therefore has differential uniformity 4, nonlinearity 112 and algebraic degree 7. The diffusion layer is an 8×8 Cauchy matrix, which is MDS by theorem; we additionally verify all 12,869 square submatrices. By the wide trail strategy, every 4-round differential or linear trail has at least 81 active S-boxes, giving trail probability at most 2−486. The key schedule uses the cipher's own round function with Davies–Meyer feed-forward, and no round key is a rotation of another. We give an Encrypt-then-MAC mode with an IND-CCA argument, a constant-time C implementation checked with valgrind (0 secret-dependent branches or addresses), and test vectors reproduced in Python and C on x86-64 Linux and ARM Android. Finally, we port the Ukrainian standard Kalyna-512/512 to Python, verify it against its official test vectors, and run the same 35-test battery on both ciphers, reporting trade-offs in both directions. All programs and outputs are included.
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Category 1: Science Law&Governance
Category 2: Law&Governance
Author: Donntula Neeraj Satyanarayana
Level of study[When the Paper was Published]: TY BSC DS
Description: A study of different Machine Learning and NLP techniques used to automatically detect and classify risks in contracts, comparing their effectiveness and accuracy in identifying high-, medium-, and low-risk clauses.
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Category 1: Health Social Sciences
Category 2: Social Sciences
Author: Anubhav Sajwan
Level of study[When the Paper was Published]: 12
Description: This research paper examines the causes and consequences of pollution in the River Yamuna, with particular focus on industrial waste, untreated sewage, illegal dumping, inadequate governmental oversight, and weaknesses in environmental regulation. It analyzes the legal framework governing water pollution in India, including the Water (Prevention and Control of Pollution) Act, 1974, the Environment (Protection) Act, 1986, relevant constitutional provisions, and judicial intervention through M.C. Mehta v. Union of India. The paper also examines concerns surrounding industrial licensing, regulatory enforcement, transparency, and accountability. Finally, it proposes a five-year roadmap for Yamuna restoration involving improved sewage treatment, real-time pollution monitoring, stronger regulatory oversight, waste management, environmental-flow restoration, and greater public transparency.
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Category 1: Psychology Science
Category 2: Science
Author: Alphonsa Maria Johny
Level of study[When the Paper was Published]: 11
Description: A Psychology Article by a 17-Year-Old Student Interested in Psychology. This article is about addictions and their relations with emotions .
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Category 1: Technology Health
Category 2: Health
Author: Keerthika
Level of study[When the Paper was Published]: A
Description: This research explores the use of Machine Learning, Transformer-based NLP, and Explainable AI (XAI) for early detection of mental health and burnout indicators. The study analyzes relevant textual and behavioral patterns to identify potential signs of stress, anxiety, depression, and burnout while using XAI to provide interpretable insights. The proposed approach aims to support early awareness and timely intervention through transparent and responsible AI.
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Category 1: Technology Other
Category 2: Other
Author: Thati Skandha Mallikarjuna
Level of study[When the Paper was Published]: --
Description: Farming profitability is influenced by a number of factors such as crops to grow, input cost, labor cost, transportation cost, expected yield, market price, etc. Farmers usually make decisions without the knowledge of their estimated profits or losses. FORMPROFIT is an AI-based farm profitability prediction and decision support system which can help farmers assess different farms strategies prior to cultivation. This system enables users to provide crop information, cultivation cost, expected yield, market price and many others. Based on the inputs provided, this system will give information about total revenue, total cost, expected profit or loss, and profitability. It will enable farmers to choose between different crop strategies based on their profitability. The system is expected to reduce risks, provide better decision making, and help farmers farm in a profitable manner. Keywords: Farm Profitability, Artificial Intelligence, Machine Learning, Crop Selection, Profit Prediction, Decision Support System, Agriculture Analytics. SDG Goals: SDG 2 – Zero Hunger SDG 8 – Decent Work and Economic Growth SDG 12 – Responsible Consumption and Production
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Category 1: Social Sciences None
Category 2: None
Author: Omid Sultani
Level of study[When the Paper was Published]: High School Graduate
Description: This literature-based analytical paper examines how civic education can strengthen meaningful political participation among young people. It focuses on the connection between political knowledge, practical civic skills, and opportunities for democratic engagement. Drawing on recent research and reports from the OECD, UNESCO, UNDP, and peer-reviewed academic studies, the paper explores how experiential learning, discussion, media and digital literacy, volunteering, youth participation programmes, and inclusive educational opportunities can help young people develop the capacity to participate constructively in public life. The paper also considers participation inequalities and the changing forms of youth political engagement in both offline and digital environments. Rather than presenting original survey or interview data, the study synthesizes existing literature to identify key educational approaches that can support informed, independent, and meaningful youth participation in democratic processes.
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Category 1: Technology Social Sciences
Category 2: Social Sciences
Author: Payyavula Sri Charan
Level of study[When the Paper was Published]: III Year – B.E. Computer Science and Engineering
Description: This research examines the global relationship between Artificial Intelligence (AI), education, employment, changing job patterns, wages, economic activity, productivity and government revenue. The study focuses on country-level evidence and investigates how increasing AI exposure and adoption may be associated with changes in education patterns, workforce requirements, employment and unemployment, income, economic activity and government revenue. The research uses a quantitative, comparative and longitudinal framework based primarily on publicly available data from recognized international sources such as the International Labour Organization (ILO), ILOSTAT, World Bank, UNESCO Institute for Statistics, International Monetary Fund (IMF) and Organisation for Economic Co-operation and Development (OECD). A key feature of the study is the distinction between AI exposure, AI adoption and actual job displacement. The research does not assume that AI necessarily reduces employment or government revenue. Instead, it examines both potential labour-market transformation and possible productivity, employment and economic effects using statistical evidence. The study also develops a conceptual International Artificial Intelligence Impact and Governance Board (IAIGB) framework for monitoring AI-related changes and evaluating alternative AI governance scenarios. The overall objective is to provide an evidence-based framework for understanding the changing relationship between AI, human capital, employment and economic development across countries.
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Category 1: Technology Business&Fianance
Category 2: Business&Fianance
Author: Aishwarya
Level of study[When the Paper was Published]: Final Year
Description: This research paper focuses on studying the awareness and usage of Unified Payments Interface (UPI) among college students. The study examines how frequently students use UPI, the reasons they prefer it, the common purposes for which they use it, and their awareness of UPI safety and security. The research also considers common problems faced while using digital payments, such as payment failure, internet issues and security concerns. The study uses a questionnaire to collect information from college students and aims to understand both UPI usage and awareness of safe digital payment practices.
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Category 1: Technology None
Category 2: None
Author: Priyanshi Upadhyay
Level of study[When the Paper was Published]: --
Description: This research paper presents an AI-based Event Management System designed to simplify and automate various event management activities. The proposed system uses artificial intelligence to assist with event planning, scheduling, participant management, task allocation, and resource coordination. The aim is to reduce manual effort, improve efficiency, and provide a more organized and intelligent approach to managing events. The system demonstrates how AI and modern software technologies can be integrated to create an efficient and user-friendly event management platform.
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Category 1: Humanities Social Sciences
Category 2: Social Sciences
Author: Smriti Rai
Level of study[When the Paper was Published]: Undergraduate
Description: The paper focuses on various instances of executive interference in the judicial matters and therefore the courts being referred to as the 'stenographer of the executive'.It also provides solutions for accountabiltiyand transparency .
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Category 1: Social Sciences None
Category 2: None
Author: Omid Sultani
Level of study[When the Paper was Published]: High School Graduate
Description: This project explores the relationship between digital citizenship and youth political participation. It examines how young people use social media and other digital platforms to access political information, express political opinions, discuss public issues, and participate in civic life. The project focuses on the growing role of digital spaces in giving young people opportunities to make their political voices heard and engage with society. It also considers the importance of responsible and informed participation in online political discussions. Through this project, I gained a deeper understanding of youth political engagement and how digital technology is changing modern political participation.
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Category 1: Social Sciences None
Category 2: None
Author: Omid Sultani
Level of study[When the Paper was Published]: High School Graduate
Description: This paper explores the growing role of social media in shaping political participation among young people. It examines how platforms such as social media can give young citizens greater access to political information, opportunities for political expression, and new ways to participate in civic life. At the same time, the paper discusses important challenges, including misinformation, political polarization, passive engagement, and unequal access to digital spaces. By bringing together findings from existing academic research, this paper provides a balanced analysis of how digital communication is changing the way young people learn about politics, express their views, and engage with society. The paper aims to contribute to a better understanding of both the opportunities and challenges of political participation in the digital age.
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Category 1: Technology Other
Category 2: Other
Author: Mr. Vicky Batulwar
Level of study[When the Paper was Published]: B-tech IT
Description: The Image-Based Indian Cattle and Buffalo Breed Recognition System is an AI-powered application that identifies the breed of Indian cattle and buffaloes from an uploaded image. The system uses Deep Learning (CNN), TensorFlow, and OpenCV to analyze the image and predict the most likely breed. The project combines a Python-based AI service with a Java Spring Boot backend to provide breed recognition through a web application. It also includes breed information, such as breed characteristics and details, to help users understand the identified animal. Key Features Image-Based Recognition: Identifies cattle and buffalo breeds from uploaded images. AI Prediction: Uses a trained deep learning model to predict the breed. Indian Breed Support: Recognizes selected Indian cattle and buffalo breeds. Breed Information: Displays details and characteristics of recognized breeds. Backend Integration: Connects the AI service with a Java Spring Boot backend. Database: Uses H2 Database to store breed-related information. Future Scalability: Designed to support more breeds and larger datasets in the future.
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Category 1: Science Other
Category 2: Other
Author: Mohammad Mostaan Abedi
Level of study[When the Paper was Published]: 10
Description: This paper explores the use of forensic DNA phenotyping and machine learning to predict human physical characteristics from DNA. It examines genetic markers, facial prediction, limitations, algorithmic bias, privacy, and the ethical challenges of using this technology in criminal investigations.
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Category 1: Technology Social Sciences
Category 2: Social Sciences
Author: Vibin Shervai
Level of study[When the Paper was Published]: 12
Description: This paper attempts to draw a picture of the future workplace with AI. It dives into its evolution, applications and future possibilities.
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Category 1: Technology Other
Category 2: Other
Author: Ramya K.M
Level of study[When the Paper was Published]: MBA
Description: EcoSwap – Smart Waste Exchange is a digital platform designed to make waste reuse simple, smart, and sustainable. The platform connects people, households, students, businesses, and recycling organizations to exchange, donate, sell, or reuse unwanted materials instead of throwing them away. EcoSwap helps users find value in waste by matching available reusable materials with people who need them. Items such as paper, plastic, clothes, electronic waste, furniture, and other reusable materials can be listed on the platform. This reduces unnecessary waste, encourages recycling, supports a circular economy, and creates opportunities to turn waste into useful resources. The main aim of EcoSwap is to “Turn Waste into Worth” through digital technology, community participation, and sustainable waste management.
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Category 1: Health Psychology
Category 2: Psychology
Author: Ferdaousse El Marjani
Level of study[When the Paper was Published]: High School
Description: My article discusses how emotions can affect the treatment of diseases, especially serious illnesses, and how they can play a significant role in making diseases more severe.
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Category 1: Social Sciences Humanities
Category 2: Humanities
Author: Aarav Sharma
Level of study[When the Paper was Published]: 7
Description: This paper explains the effects of AI generated misinformation on human rights. It is easy to understand and has original wording- 0 use of AI. Let me know your thoughts Live long and prosper
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Category 1: Technology Other
Category 2: Other
Author: Gandesiri Shravan Kumar, Korra Thirumaleshwar, Mudhiraj Tharun
Level of study[When the Paper was Published]: B.Tech
Description: The surge in online fashion retail has amplified the demand for immersive and personalized shopping experiences. Addressing this need, we introduce a system that enables users to virtually try on clothing in various colors using Augmented Reality (AR) and Machine Learning (ML). Building upon the HR-VITON framework, as exemplified in the “Virtual Wardrobe Experience With AI” project, our approach integrates advanced computer vision techniques to achieve realistic virtual try-ons. The system employs PoseNet for accurate human pose estimation, facilitating precise alignment of virtual garments with the user's body. Graphonomy is utilized for detailed semantic segmentation, ensuring that clothing regions are accurately identified and isolated. Detectron2 further enhances object detection and segmentation capabilities, contributing to the system's robustness. For color customization, sophisticated color transfer algorithms are applied, allowing users to visualize garments in a spectrum of colors while accounting for lighting variations and fabric textures. By overlaying the digitally altered garments onto the user's live image feed, the AR component delivers a seamless and interactive experience. This fusion of AR and ML not only enhances user engagement but also aids consumers in making informed purchasing decisions, potentially reducing return rates. The modular design of the system ensures adaptability, making it suitable for integration into various e-commerce platforms and applications.
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Category 1: Social Sciences Business&Fianance
Category 2: Business&Fianance
Author: Daksh Khanna
Level of study[When the Paper was Published]: 2nd Year
Description: Sustainable consumption and production have become important challenges in a world experiencing rapid technological development, economic growth and increasing consumer demand. Modern lifestyles encourage people to purchase more products, often without considering how resources are extracted, how goods are produced or what happens after they are discarded. Sustainable Development Goal 12 (SDG 12), Responsible Consumption and Production, aims to address this problem by promoting efficient resource use, waste reduction and sustainable production practices. This paper examines the role of consumers, businesses, governments and educational institutions in achieving SDG 12. It also considers India's progress towards sustainable development and argues that meaningful environmental change requires collective action and everyday responsible choices.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Lavya Gupta
Level of study[When the Paper was Published]: 11th
Description: This paper examines how independent AI pricing algorithms can learn to raise prices together without any communication between competing firms — and asks whether antitrust law, built around proving deliberate agreement, still applies. Using the DOJ's case against RealPage and new EU enforcement actions as evidence, it argues current law needs a data-focused update.
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Category 1: Social Sciences Technology
Category 2: Technology
Author: Aryaveer Singh
Level of study[When the Paper was Published]: 10th
Description: Adolescents increasingly encounter news through algorithmically ranked feeds on video, messaging and social platforms rather than through mastheads, bulletins, or adult intermediaries. Ranking systems select and order what a young reader sees, yet the selection criteria are largely invisible, the sources are mixed, and fluent presentation is no guarantee of accuracy or independence. Meaningful news literacy in this environment therefore extends well beyond knowing that misinformation exists. It includes understanding that feeds are personalised, being able to establish who produced a claim and why, verifying consequential claims against independent evidence, calibrating trust to evidence rather than to presentation, recognising privacy and targeting risks, and behaving responsibly before resharing. This paper develops an academically grounded protocol for investigating these capacities among students in Classes IX and X in India. The proposed cross-sectional, multi-site survey uses a mixed-format instrument that combines objective knowledge items, self-reported competence, behavioural-frequency measures, scenario-based source-evaluation tasks, and a headline veracity discernment task. The conceptual model treats algorithmic news literacy as six related constructs: algorithmic and personalisation awareness, applied platform competence, source evaluation and verification, misinformation susceptibility, risk and ethical awareness, and responsible sharing behaviour. Device access, platform repertoire, language of news use, school context, and prior media-literacy instruction are treated as contextual predictors, while news trust and self-rated confidence are examined as calibration variables rather than as straightforward indicators of literacy. The protocol specifies a realistic independent-student sampling strategy, pilot testing, translation procedures, content and construct validation, reliability analysis, ethical safeguards for minors consistent with Indian data-protection expectations, and an analysis plan that accounts for school clustering and multiple comparisons. It also supplies participant materials, a complete draft questionnaire, and a variable-coding framework. No empirical findings are reported because primary data have not yet been collected. The study is designed to produce transparent, reproducible evidence about how Indian adolescents meet news, how they judge it, and what school-based instruction could strengthen safe, critical, and responsible participation. Keywords: algorithmic news literacy; media and information literacy; news personalisation; source evaluation; misinformation susceptibility; adolescents; India; secondary education; research protocol
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Category 1: Technology Technology
Category 2: Technology
Author: Akshat Ramola
Level of study[When the Paper was Published]: 12th
Description: Artificial intelligence is actively restructuring global labor markets by changing how work is performed, which roles are prioritized, and how human skills are valued. Unlike previous automation cycles that focused on manual tasks, modern AI targets cognitive, knowledge, and creative work. Three core dynamics define this transformation:Entry-Level Disruption: Rather than triggering mass overall job loss, AI's biggest impact is a shrinking "first rung" on the career ladder. Roles involving initial research, basic document drafting, entry-level coding, and basic customer support are being automated, making it harder for early-career professionals to break in. Workforce Augmentation: For mid-to-senior professionals, AI acts as a force multiplier. It eliminates repetitive tasks, allowing workers in software development, law, finance, and medicine to focus on high-level strategy, critical evaluation, and human relationships. Emerging Roles & Skill Shifts: Demand is expanding for AI infrastructure talent (machine learning engineers, data architects, AI ethics officers) alongside roles requiring high emotional intelligence, adaptative problem-solving, and hands-on physical skills. Resilience by SectorVulnerable to AutomationResilient & AugmentedBasic data entry & administrative supportComplex strategy & decision-makingTier-1 customer service & call centersSpecialized healthcare & nursingEntry-level document review & legal assistantsSkilled manual trades & field technical workMaintaining employability increasingly relies on AI fluency—the ability to direct and audit AI tools—combined with distinctly human capabilities like empathy, nuance, and strategic decision-making.
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Category 1: Business&Fianance Architecture
Category 2: Architecture
Author: Sahasra Vaitla
Level of study[When the Paper was Published]: 10th
Description: Chanel, a brand known for it's luxury and esteem, provides a sense of prestige to consumers, not just through it's products, but it's flagship stores which provide a sense of exclusivity and indulgence. This paper, studies on of Chanel's initial flagship store, 31 Rue Cambon and it's pivotal role in Chanel's identity and overall aesthetic.
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Category 1: Technology Social Sciences
Category 2: Social Sciences
Author: Aryaveer Singh
Level of study[When the Paper was Published]: 10th
Description: This research looks at how Indian secondary-school students understand and use generative AI. It focuses on four main areas: students’ awareness of AI, how they use these tools, whether they check the information AI provides, and how they perceive the risks involved. The study explores the ways students use generative AI for learning and schoolwork, as well as how well they recognize that AI-generated answers are not always accurate or reliable. It also examines whether students verify information before trusting or using it. Alongside these everyday practices, the research considers students’ understanding of broader concerns such as misleading or fabricated information, bias, privacy, misinformation, and academic integrity. By bringing these areas together, the study seeks to develop a better picture of how prepared secondary-school students are to use generative AI thoughtfully and responsibly, while identifying areas where additional guidance or AI-literacy education may be needed.
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Category 1: Business&Fianance Art&Design
Category 2: Art&Design
Author: Sahasra Vaitla
Level of study[When the Paper was Published]: 10th
Description: This case study looks at how Swarovski has built its position in the global jewellery market. It explores the brand’s history, innovation, sustainability, business strategy, and competitive advantages, while also looking at how Swarovski continues to grow and compete with other jewellery brands.
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Category 1: Business&Fianance Technology
Category 2: Technology
Author: Sahasra Vaitla
Level of study[When the Paper was Published]: 10th
Description: In early 2024, Fossil Group announced its exit from the smartwatch category, in which it had competed for several years. The CEO also confirms Fossil's exit from the Wear OS market. Fossil Group’s strategic decision was due to the immense competition it received from technology brands such as Apple, Garmin, Samsung and Fitbit. Fossil Group believes their design and branding are stronger off competing in the traditional watch market with brands like Armitron, Citizen, Gucci, Guess?, Raymond Weil, Timex, etc. This shift allowed Fossil to concentrate its resources on a category where it believed it possessed stronger competitive advantages.
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Category 1: Technology Technology
Category 2: Technology
Author: Praveen M Hallur
Level of study[When the Paper was Published]: 4th Year
Description: Pathnix is a machine learning-based web system designed to predict student placement probability and provide personalized career recommendations. The system uses Logistic Regression to analyze academic, technical, project, internship, and certification-related attributes. It provides placement probability, readiness analysis, weak-area identification, career path, predicted role, company type, salary range, and improvement suggestions. The system also supports student, faculty, and administrator dashboards for data management and placement analysis. The reported model performance achieved approximately 78% accuracy, 78% precision, 76% recall, and 77% F1-score.
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Category 1: Science Other
Category 2: Other
Author: Poonam.G.Rathod
Level of study[When the Paper was Published]: 12
Description: What if human evolution was never a straight line—but a complex story of survival, adaptation, and discovery? From the first steps of early hominins to powerful brains, ancient tools, Neanderthal DNA, and the possibilities of CRISPR and life beyond Earth, this article explores where we came from, how we became Homo sapiens, and one fascinating question: where could human evolution take us next?
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Category 1: Technology Science
Category 2: Science
Author: Mithun H
Level of study[When the Paper was Published]: MCA
Description: MCA student with research interests in cybersecurity, Digital Twin technology, artificial intelligence, and network security. This submission presents a research paper on the application of Digital Twin technology for enhancing cybersecurity through real-time monitoring, threat detection, and predictive analysis.
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Category 1: Technology Law&Governance
Category 2: Law&Governance
Author: Soumita Mitra
Level of study[When the Paper was Published]: 1st year B.A. LL.B
Description: The fast pace of development of Artificial Intelligence (AI), digital technologies and cyber space has completely changed the modern society. The role of technologies is becoming more evident not only in economic and social life but also in the government activity as well. At the same time, all the mentioned above development processes brought some serious legal issues related to the issues of privacy, data protection, cybersecurity, intellectual property, accountability, human rights and State intervention. Cyber law and digital governance have become important legal instruments of regulating the relation between technology, people, businesses and the State. This article discusses the new legal challenges associated with AI and digital technologies. The special attention is paid to the Indian legal system. The necessity of the responsible AI governance, protection of personal data, cybersecurity legislation, algorithmic accountability and harmonization of technological progress with constitutional rights is analyzed in the article.
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Category 1: Science Technology
Category 2: Technology
Author: Kashish Potaliya
Level of study[When the Paper was Published]: Completed Higher Secondary Education
Description: South Korea is tackling limited land and food security challenges by transforming traditional agriculture into a high-tech sector through IoT, AI-controlled greenhouses, and robotic automation. This technology-driven model enables precision farming and vertical farming to optimize yields while providing a sustainable blueprint for other nations to address shrinking labor forces
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Category 1: Technology Science
Category 2: Science
Author: Vignesh
Level of study[When the Paper was Published]: B.E(ECE)
Description: Description: AI-Based Network Intrusion Detection System Using Machine Learning for Enterprise Networks This project focuses on building an intelligent system that can automatically detect cyberattacks on enterprise computer networks using machine learning instead of traditional rule-based methods. Conventional intrusion detection systems (IDS) rely on predefined attack signatures, making them ineffective against new or unknown threats. This system instead learns patterns of normal versus malicious network behavior directly from data, allowing it to identify both known and previously unseen attacks.
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Category 1: Humanities Social Sciences
Category 2: Social Sciences
Author: Javohir Erniyozov
Level of study[When the Paper was Published]: 11
Description: This paper explores the etymology of the name "Khiva" and examines different historical explanations of its origin. The study analyzes ancient legends, historical sources, and linguistic interpretations related to the name of the city. The article highlights the cultural and historical significance of Khiva as one of the ancient cities of Central Asia.
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Category 1: Psychology Social Sciences
Category 2: Social Sciences
Author: Ishika Singh
Level of study[When the Paper was Published]: 12
Description: The rapid evolution of digital commerce has reshaped consumer behavior and altered how adolescents manage their emotional states. This study examines whether adolescents utilize online purchasing as a coping mechanism for negative affective states, including stress, boredom, sadness, and discomfort. A quantitative survey was administered to an initial sample of 83 adolescents aged 16 to 19. Incomplete and invalid responses were excluded following data cleaning procedures, yielding a final dataset of fully completed, valid questionnaires. The study assessed emotional states, digital spending habits, perceived mood improvement following purchases, post-purchase regret, dependency on spending, and social media influence on consumption. Results indicate that a substantial proportion of adolescents perceive online purchases as providing transient mood improvement. However, the majority did not report high levels of dependency on digital spending. Social media was found to exert a significant influence on emotionally-driven purchasing behavior. These findings suggest a meaningful connection between emotion-regulation strategies and digital consumption during adolescence. As internet use continues to expand across daily life, understanding this relationship becomes increasingly important for promoting healthy digital habits among young consumers.
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Category 1: Humanities Other
Category 2: Other
Author: Vazza Praneetha
Level of study[When the Paper was Published]: 10
Description: "Dear Life: A Letter Written for Every Soul" is a heartfelt reflection on the challenges, lessons, and quiet victories that shape our lives. Through gratitude, resilience, and hope, this article reminds readers that every hardship carries the potential for growth. Dedicated to anyone facing unseen struggles, it encourages us to embrace life's imperfections, learn from every experience, and believe that brighter days always lie ahead.
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Category 1: Health Science
Category 2: Science
Author: Poonam Rathod
Level of study[When the Paper was Published]: 12
Description: Every day, millions of people consume oral tablets for pain, fever, and various medical conditions without realizing the extraordinary biological journey these solid dosage forms undertake inside the human body. This article investigates the complete scientific pathway of an orally administered drug, beginning from ingestion and gastrointestinal dissolution to intestinal absorption, hepatic first-pass metabolism, systemic circulation, and selective receptor interaction at the cellular level. By exploring the interconnected principles of pharmacokinetics and pharmacodynamics, the article reveals how a seemingly simple tablet functions as a highly engineered pharmaceutical delivery system. It further examines critical physiological barriers such as gastric acidity and the blood-brain barrier, while comparing oral administration with intravenous delivery to highlight differences in bioavailability and onset of action. Finally, the discussion extends into the future of pharmaceutical research and development, focusing on targeted drug delivery systems, nanocarriers, liposomes, and monoclonal antibodies that aim to revolutionize modern medicine through greater precision, efficiency, and reduced systemic side effects.
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Category 1: Social Sciences Humanities
Category 2: Humanities
Author: Himran Kashyap Das
Level of study[When the Paper was Published]: BA 6th semester
Description: This article examines the 2015 Hindi film Masaan from a sociological perspective, exploring how it reflects the complex social realities of contemporary India. Through its portrayal of caste discrimination, gender norms, social stigma, class inequality, and the tension between tradition and modernity, the film presents a nuanced picture of everyday social life. The article analyzes the experiences of the main characters to demonstrate how social structures shape individual opportunities, relationships, and identities. Drawing upon key sociological concepts such as social stratification, patriarchy, social control, and cultural change, the study argues that Masaan serves as a powerful commentary on the challenges faced by individuals navigating rigid social institutions while striving for personal freedom and dignity. Ultimately, the film highlights both the persistence of social inequalities and the possibilities for transformation in modern Indian society.
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Category 1: Other Humanities
Category 2: Humanities
Author: Daliannis Tamayo
Level of study[When the Paper was Published]: 12
Description: The literary review discusses similarities and differences in ideals in Matt de la Peña’s essay and Malcom X’s “A Hundred Years of Solitude”, showcasing how literature shapes one’s identity.
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Category 1: Law&Governance Social Sciences
Category 2: Social Sciences
Author: Poonam Rathod
Level of study[When the Paper was Published]: 12
Description: This article provides a balanced overview of women's safety in South Korea by exploring various aspects of everyday life, including public safety, transportation, safety infrastructure, digital security, workplace environments, legal protections, and ongoing social discussions. It examines both the strengths that contribute to South Korea's reputation as a relatively safe country and the challenges that continue to shape conversations about women's safety in the modern era. Through a factual and informative approach, the article aims to offer readers a broader understanding of the topic and the factors that influence women's experiences in contemporary South Korean society.
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Category 1: Social Sciences Other
Category 2: Other
Author: Rheyna Puspita
Level of study[When the Paper was Published]: Student
Description: This paper talks about how the influx of Filipino teachers in Vietnam between 2019 and 2024 affects the quality of rural basic education in the Philippines. This paper examines the social, economic, and educational implications of international teacher labor migration in both the sending and receiving countries through the perspectives of Liberalism and Dependency Theory. While labor migration allows for monetary compensation and greater regional cooperation, it also has negative effects such as teacher shortages, brain drain, and educational inequality in the rural parts of the Philippines. This research methodologically examines the connection between labor mobility and quality of rural education in Southeast Asia using qualitative descriptive design, with primary source data coming from various academic journals, reports from UNESCO and the World Bank.
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Category 1: Health Other
Category 2: Other
Author: Poonam Rathod
Level of study[When the Paper was Published]: 12
Description: This article provides an overview of the South Korean healthcare system, focusing on its structure, National Health Insurance, healthcare technology, and public health services. It also highlights key strengths, challenges, and future developments in the system.
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Category 1: Technology Health
Category 2: Health
Author: Tanuja Dattatray Thorat,Shreya Sanjay Kadam,Sejal Somnath Raskar
Level of study[When the Paper was Published]: A
Description: The AI-Based Clinical Overload Assistant helps doctors and nurses by reducing paperwork using AI technology. It listens to doctor–patient conversations, converts speech into text, and automatically creates medical notes and prescriptions. The system saves time, reduces workload, improves accuracy, and keeps patient data safe and secure. It also supports multiple languages, smart follow-up questions, and audio uploads, making healthcare faster and easier.
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Category 1: Social Sciences Technology
Category 2: Technology
Author: Misthi Tomar
Level of study[When the Paper was Published]: 3rd Year
Description: In the modern democracy , artificial intelligence is not just a tool for progress but an instrument of curtailing rights and establish political authority. This paper critically examines how AI-fed surveillance is restructuring the state-citizen correspondence. By fetching data from interdisciplinary theories and case studies like- anti-CAA protests, the farmers' protest, the Agnipath protests, and crises in Kashmir and Manipur, this study throws light on digital authoritarian regimes within democratic setup. This paper examines the tactics through which the Indian state uses data profiling, internet shutdowns, predictive policing, and face recognition technology to curb, and delegitimize dissent, particularly hampering vulnerable group identities. Moreover, it covers normalization of interference in private sphere legally.he study highlights the research gap in the literature, which frequently concentrates on authoritarian regimes or corporate monitoring while ignoring democracies like India where digital repression is emerging behind constitutional rhetoric. It does this by bridging critical theory with empirical occurrences and all adds to the discourse about civil rights, surveillance vs privacy issues and digital ethos.
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Category 1: Science Health
Category 2: Health
Author: Poonam Rathod
Level of study[When the Paper was Published]: 12
Description: This observational article explores the potential effects of a structured 30-minute pre-bedtime whispering ASMR routine on sleep quality. Based on qualitative self-observation, the study compares direct sleep exposure with a dedicated pre-sleep relaxation period. The observations suggest that a structured routine before attempting to sleep may support relaxation, reduce perceived mental stress, and improve morning freshness. This paper highlights the importance of timing and structured bedtime routines in digital relaxation practices.
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Category 1: Business&Fianance Technology
Category 2: Technology
Author: Palak Saini
Level of study[When the Paper was Published]: BBA
Description: This research paper examines the impact of digital payment applications on the spending habits of college students. The study analyzes the usage patterns, preferences, and factors influencing the adoption of digital payment apps such as Google Pay, PhonePe, Paytm, and BHIM. Primary data was collected from 50 college students through a structured questionnaire, while secondary data was obtained from books, journals, websites, and research papers. The findings indicate that convenience, cashback offers, and fast transactions are the major factors driving the use of digital payment applications. The study also highlights that digital payment systems significantly influence students' spending behavior and may encourage impulsive purchasing habits. The research provides insights into the growing role of digital payments in shaping financial behavior among young consumers.
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Category 1: Technology Other
Category 2: Other
Author: Mahima Nenwani
Level of study[When the Paper was Published]: A
Description: The Women Safety Application is a mobile-based security system designed to provide real-time emergency assistance to women during unsafe situations. The application allows users to send instant SOS alerts, share live GPS location, and contact trusted emergency contacts quickly with a single click. It uses technologies such as Android, GPS tracking, Firebase, and Google Maps API to ensure fast communication and accurate location sharing. The main purpose of the application is to improve women’s personal safety, provide quick emergency support, and create a safer environment through modern technology.
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Category 1: Technology Other
Category 2: Other
Author: Shravani Godase
Level of study[When the Paper was Published]: A
Description: The IoT-Based Smart Vibration Band is a wearable electronic device developed to provide silent and instant notifications using vibration technology. The system is mainly designed for users who may miss important alerts because of noisy surroundings or hearing difficulties. The device connects with smartphones or IoT-enabled systems and generates vibration alerts whenever notifications, emergency messages, or warning signals are received. The smart band uses a microcontroller, communication, and a vibration motor to create an efficient wearable notification system. The project focuses on portability, low power consumption, affordability, and user convenience. It also supports accessibility for specially-abled individuals by offering an alternative to sound-based alerts.This project demonstrates the practical application of Internet of Things (IoT), wearable computing, and embedded systems in modern communication technology.
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Category 1: Science Other
Category 2: Other
Author: Akshatha S Havanur
Level of study[When the Paper was Published]: Final year BE
Description: NeuroViz is a web-based system that takes grayscale brain MRI scans and converts them into colorful, interactive 3D visualizations that anyone can view in a normal web browser — no special software needed.
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Category 1: Technology Other
Category 2: Other
Author: Kanishka Mali
Level of study[When the Paper was Published]: A
Description: Wool quality evaluation is an important factor that directly influences its market price and usability in the textile industry. Conventional grading methods mainly depend on manual inspection, which can be inconsistent, time-consuming, and dependent on human judgment. To overcome these limitations, this paper presents a portable and intelligent wool quality checking system built using an ESP32 microcontroller with IoT integration. The system is capable of analyzing key parameters such as fiber thickness, moisture level, color characteristics, weight, and surrounding environmental conditions using a combination of sensors and imaging components. The acquired data is processed within the device and then transmitted to a cloud platform for real-time monitoring and storage. This approach allows farmers, buyers, and manufacturers to remotely access reliable and standardized wool quality reports. The proposed solution enhances transparency, minimizes reliance on laboratory-based testing, and supports better decision-making throughout the supply chain. The developed prototype shows stable performance, low energy consumption, and affordability, making it practical for real-world agricultural use.
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Category 1: Science Other
Category 2: Other
Author: Riya
Level of study[When the Paper was Published]: M. Sc
Description: I am student of M. Sc botany 2 year I want to publish my research paper
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Category 1: Business&Fianance Other
Category 2: Other
Author: Riya
Level of study[When the Paper was Published]: Bachelor of Business Administration
Description: A research project on customer satisfaction and consumer buying behaviour towards samsung . The study explores consumer perception , satisfaction level,and purchasing patterns in the electronics market.
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Category 1: Technology Science
Category 2: Science
Author: Nakul Patil
Level of study[When the Paper was Published]: A
Description: This research presents a sustainable self-charging electric vehicle (EV) system that combines regenerative braking technology with solar energy harvesting to improve energy efficiency and extend battery life. The proposed system captures kinetic energy generated during braking and converts it into electrical energy, which is stored back into the vehicle’s battery using regenerative braking mechanisms. In addition, solar panels integrated into the vehicle body continuously harvest renewable solar energy to support auxiliary charging. The integration of these two energy recovery methods reduces dependency on external charging infrastructure and enhances the overall driving range of electric vehicles. The system is designed to optimize energy utilization, minimize power loss, and promote eco-friendly transportation. Experimental analysis and simulations demonstrate improved battery performance, increased energy recovery efficiency, and reduced operational costs compared to conventional EV systems. This project contributes to the advancement of green transportation technologies by providing an intelligent, renewable, and energy-efficient solution for future electric mobility. The proposed model supports environmental sustainability by lowering carbon emissions and encouraging the adoption of clean energy-based transportation systems.
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Category 1: Art&Design Mathematics
Category 2: Mathematics
Author: Ashutosh Udamle
Level of study[When the Paper was Published]: 12
Description: Leonardo da Vinci is remembered as one of history’s greatest minds because he combined art, science, and mathematics in a way that was far ahead of his time. His paintings were not only masterpieces of beauty but also reflections of deep observation, experimentation, and scientific thought. This book presents a research-based study of Leonardo’s life and work, showing how his ideas continue to influence modern science, art, and human understanding. It aims to explore the hidden connection between creativity and knowledge through the legacy of one extraordinary thinker.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Pankaj Kumar
Level of study[When the Paper was Published]: A
Description: I publish My research paper on A STUDY REPORT ON MAHINDRA & MAHINDRA COMPANY
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Category 1: Technology Other
Category 2: Other
Author: Yashika Pathak , Priyanshi Shrivastava
Level of study[When the Paper was Published]: B.tech final year
Description: Java Quest is a gamified web-based learning platform developed to enhance Java programming education through interactive coding challenges, leaderboard systems, progress tracking, and responsive UI/UX design. The platform integrates modern web technologies including React.js, Node.js, Express.js, and MongoDB/Supabase to create an engaging and scalable educational environment for programming learners. The proposed system combines gamification principles with challenge-based learning methodologies to improve learner motivation, participation, and retention. Features such as level-based progression, coding quests, achievement systems, and customizable themes transform traditional programming instruction into an interactive learning experience. This research paper presents the architecture, methodology, implementation, and evaluation of the Java Quest platform, demonstrating the effectiveness of gamified educational systems in modern programming education.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Srushti Vijay Prabhale
Level of study[When the Paper was Published]: A
Description: -
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Category 1: Technology Other
Category 2: Other
Author: Saswata Dhar
Level of study[When the Paper was Published]: Undergraduate (B.Tech in CSE)
Description: This research paper presents a comprehensive performance analysis of fundamental compiler optimization techniques used in modern compiler design. The study explores key optimization methods including Constant Folding, Constant Propagation, Variable Propagation, Common Subexpression Elimination using Directed Acyclic Graph (DAG) construction, Strength Reduction, Dead Code Elimination, Loop Invariant Computation, and Loop Unrolling. The paper provides detailed theoretical explanations, optimized and unoptimized code comparisons, runtime and compile-time analysis, and graphical performance evaluations using Python-based visualization techniques. The research highlights how compiler optimizations improve execution efficiency, reduce redundant computations, minimize instruction overhead, and enhance overall system performance. Additionally, the study discusses the implementation and significance of these optimizations in modern compiler frameworks such as GCC and LLVM. This work serves as both an analytical and practical study of optimization strategies in contemporary compiler systems.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Sonali Chavan
Level of study[When the Paper was Published]: A
Description: This project titled “Study on Payroll Management System and Its Impact on Organizational Effectiveness with Reference to Manufacturing Industry” focuses on understanding how payroll systems function and their importance in organizations. Payroll management plays a key role in handling employee salaries, wages, bonuses, deductions, and statutory compliance. The study highlights the complexities of payroll in the manufacturing sector, where factors such as shift work, overtime, and labor laws make payroll processing more challenging. It explains how an efficient payroll system ensures accuracy, transparency, and timely payment of salaries, which directly affects employee satisfaction and organizational performance. The project also examines the impact of payroll management on organizational effectiveness, including improved productivity, better compliance with legal requirements, and reduced administrative workload. Additionally, it identifies common challenges faced in payroll processing and suggests the use of automated systems to improve efficiency and reduce errors. Overall, the study concludes that a well-structured payroll management system is essential for the smooth functioning and success of any organization, especially in the manufacturing industry.
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Category 1: Science Other
Category 2: Other
Author: Saniya
Level of study[When the Paper was Published]: B.E , CSE
Description: The growth of digital transportation services has increased the need for software platforms that simplify ride booking, improve fare transparency, and support better coordination between passengers and drivers. This paper presents the design and development of the Go Pro Rental Vehicle Platform, a Java-based ride-hailing and rental vehicle application developed as an academic project. The system provides user registration, login, ride booking, driver matching, fare calculation, simulated wallet payment, ride tracking, notifications, rating and review support, admin monitoring, and an SOS safety feature. The application is implemented using Java, Java Swing, object-oriented programming principles, and collection-based data handling. The system design is represented using data flow, entity relationship, use case, and class-based modeling concepts. Functional testing and project screenshots show that the proposed system successfully demonstrates the ride lifecycle from booking to payment completion. Although GPS tracking, live payment gateway, and cloud deployment are not implemented in the current version, the project provides a strong foundation for future intelligent transportation management systems.
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Category 1: Psychology Social Sciences
Category 2: Social Sciences
Author: Laiba Syed
Level of study[When the Paper was Published]: 12
Description: This research paper, The Psychological Impact of Social Media Usage on Teenage Mental Health, examines how social media influences teenagers aged 15–20 through a survey of 43 respondents. The study focuses on emotional well-being, stress, anxiety, sleep quality, and daily screen time. Results show that 39.5% of participants use social media for more than four hours daily, while 79.1% reported feeling emotionally low recently—the strongest finding of the study. Around 81.3% experienced stress or anxiety sometimes to always, and nearly 70% rated their sleep quality as average or poor. The research highlights how constant exposure to curated online lifestyles increases comparison, insecurity, and validation-seeking among teenagers. Likes, followers, and online attention often become measures of self-worth, negatively affecting confidence and emotional stability. Poor sleep caused by late-night scrolling further worsens mental health. While social media also offers benefits like education, creativity, and communication, the paper concludes that unhealthy dependency creates serious psychological risks. It recommends digital awareness programs, counseling support, healthier screen habits, parental guidance, and positive use of social media to promote balanced emotional well-being.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Aditi Adinath Kamble
Level of study[When the Paper was Published]: A
Description: Study of impact of customer satisfaction on the financial performance of hotel operations
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Category 1: Science Other
Category 2: Other
Author: Rohit Sanjay Jadhav
Level of study[When the Paper was Published]: B pharmacy
Description: I had made a review article about The Resurgence of Natural Cosmetics: A Comprehensive Review of Herbal Beetroot Lip Balm
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Category 1: Technology Technology
Category 2: Technology
Author: Vinit Kumar Patel
Level of study[When the Paper was Published]: 2nd year
Description: This research paper focuses on the design and working of a robotic arm using automation and smart control systems. The robotic arm can perform tasks such as picking, placing, lifting, and moving objects with high accuracy and speed. It helps reduce human effort and improves efficiency in industries, manufacturing, and automation systems. The paper also explains the applications, advantages, and future scope of robotic arm technology.
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Category 1: Technology None
Category 2: None
Author: M Akhil
Level of study[When the Paper was Published]: Computer
Description: Financial forecasting is an important task in predicting stock market trends and helping investors make better decisions. Since financial data changes rapidly and follows complex patterns, accurate prediction becomes difficult using traditional methods. This project presents a hybrid intelligence model that combines Long Short-Term Memory (LSTM) and XGBoost for improved financial forecasting. LSTM is used to analyze time-series data and capture long-term dependencies in stock market trends, while XGBoost helps improve prediction accuracy by handling complex relationships in the data. The combination of these two techniques provides better performance than using individual models alone. The model is trained using historical financial data such as stock prices and trading volume. Performance is evaluated using metrics like Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). The results show that the hybrid LSTM-XGBoost model provides more accurate and reliable predictions, making it useful for investors and financial organizations.
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Category 1: Science Other
Category 2: Other
Author: Gunanathan
Level of study[When the Paper was Published]: Undergraduate (UG)
Description: none
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Category 1: Business&Fianance Other
Category 2: Other
Author: Kaustubh Shrikant Sure
Level of study[When the Paper was Published]: -
Description: Artificial Intelligence (AI) has become one of the most transformative technologies in the financial services industry. Financial institutions, brokerage firms, and fintech companies are increasingly adopting AI-based systems to enhance investment analysis, portfolio management, and risk assessment. AI technologies such as machine learning, natural language processing, predictive analytics, and robo-advisors enable investors to analyze large volumes of financial data quickly and make informed investment decisions.
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Category 1: Technology Science
Category 2: Science
Author: Siddhi Gaikwad
Level of study[When the Paper was Published]: A
Description: Type of website can use for students
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Category 1: Technology Art&Design
Category 2: Art&Design
Author: Shreyash Lohar
Level of study[When the Paper was Published]: graduation
Description: Artificial Intelligence (AI) is rapidly transforming the animation and visual effects (VFX) industry, redefining workflows, creative processes, and production timelines. This paper examines the multifaceted impact of AI technologies — including machine learning, deep learning, generative models, and neural rendering — on key areas such as character animation, rotoscoping, motion capture, and visual effects generation. Drawing on secondary research and industry reports, this study explores both the opportunities and challenges that AI presents for professionals and students in the field. The findings suggest that while AI significantly enhances efficiency and opens new creative avenues, it also raises important concerns regarding skill displacement, authorship, and ethical use of generative tools. Keywords: Artificial Intelligence, Animation, VFX, Machine Learning, Generative AI, Neural Rendering, Motion Capture
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Category 1: Science Technology
Category 2: Technology
Author: Nikhil Sinha, Vishal Uttarkar, Jeevan Kumar
Level of study[When the Paper was Published]: Final Year Btech
Description: This paper presents an AI-Based Document Chat System using Retrieval Augmented Generation (RAG). The proposed system allows users to upload documents and interact with them through a conversational chatbot interface. The system combines natural language processing, information retrieval, and generative AI techniques to provide accurate and context-aware responses from uploaded documents. The project was developed using Python and modern AI frameworks as part of a final-year engineering project to demonstrate practical applications of artificial intelligence and large language models.
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Category 1: Social Sciences Psychology
Category 2: Psychology
Author: Ishika Singh
Level of study[When the Paper was Published]: 12
Description: This study examines parasocial attachment in adolescent social media users as a form of emotional compensation. Using a longitudinal single-case illustrative design (age 17), it explores how emotional bonds with online creators develop through repeated exposure and algorithmic reinforcement. Grounded in Attachment Theory, Uses and Gratifications Theory, and Compensatory Internet Use Theory, the paper proposes a continuum from adaptive emotional support to maladaptive dependency. Findings suggest parasocial relationships can aid emotional regulation and identity exploration but may also contribute to emotional dependency, loneliness, and reduced offline interaction when excessive.
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Category 1: Technology Other
Category 2: Other
Author: Disha Sanjay Dandawate
Level of study[When the Paper was Published]: MCA (Engineering)
Description: This research paper presents an AI-based housing price prediction system using machine learning techniques. The system analyzes factors such as location, area, bedrooms, and amenities to predict property prices accurately. Data preprocessing and regression models are used to improve prediction performance and support better decision-making in the real estate sector.
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Category 1: Law&Governance Social Sciences
Category 2: Social Sciences
Author: Jayasmith Chakraborty
Level of study[When the Paper was Published]: A
Description: The rapid growth of digital banking and UPI system has drastically transform the financial landscape by introducing real time electronic transactions in India however these changes also leads parallel increase in cybercrime including fishing identity have unauthorized the access and data breaches. This paper critically examines the legal framework governing digital banking and UPI transactions under the Information Technology Act,2000. This paper adopts a doctrinal research methodology relying on the analysis of statutory provisions such as section 43, 65, 66(B), 66(C) 66(D) of the act and analyse how the information technology act 2000 is lagging in context of US laws such as EFTA and CFAA in combating modern fraudulent activities which are untraceable through simple legal interpretation and reduce ambiguousness in prosecution and frame out the gaps that need to be correctify under the IT ACT 2000. Keywords: Digital Banking, Unified Payments Interface (UPI), Legal Framework, IT Act, 2000, Electronic Fund Transfer Act (EFTA), Computer Fraud and Abuse Act (CFAA).
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Category 1: Technology Other
Category 2: Other
Author: Vignesh M
Level of study[When the Paper was Published]: A
Description: The IoT-Based Smart Energy Monitoring and Alert System is used to monitor electricity usage in real time It measures voltage, current, and power consumption using sensors.The data is sent to the cloud using ESP8266 or Arduino through the internet. The system sends alerts when energy consumption exceeds the limit.This project helps to save electricity and improve smart energy management.
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Category 1: Technology Other
Category 2: Other
Author: Ankit Nehra
Level of study[When the Paper was Published]: MCA
Description: This research paper presents the design and implementation of a scalable e-commerce web application developed using the MERN stack, enhanced with a microservices-based architecture. The system decomposes core functionalities such as authentication, user management, product catalog, cart operations, order processing, payments, and notifications into independent services to improve modularity, scalability, and fault tolerance. The application uses an API Gateway as a unified entry point for client requests, ensuring secure routing, centralized authentication, and efficient communication between services. Each microservice maintains its own database, enabling loose coupling and independent scalability. The system is further containerized using Docker to ensure consistent deployment across environments and to support horizontal scaling. For performance optimization and real-time capabilities, the system is designed to handle high concurrent user loads while maintaining responsiveness. Key performance metrics such as response time, throughput, CPU utilization, and memory usage are analyzed under different traffic conditions using load testing tools. The study demonstrates that microservices-based architectures significantly outperform traditional monolithic systems in high-load scenarios by offering better scalability, flexibility, and fault isolation, although they introduce additional complexity in inter-service communication and system management. Overall, this work highlights the effectiveness of combining the MERN stack with microservices architecture for building modern, scalable, and performance-oriented e-commerce applications.
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Category 1: Health Technology
Category 2: Technology
Author: Kais Peerzade
Level of study[When the Paper was Published]: A
Description: AI in healthcare has emerged as a powerful tool for improving diagnostic accuracy, reducing delays, and expanding access to medical services. However, existing AI diagnostic systems often suffer from bias— particularly across different skin tones, genders, and demographics—which compromises fairness and reliability. This research proposes FairDx, a fairnessaware AI system for disease diagnosis. Unlike traditional AI models that exhibit degraded performance on underrepresented groups, FairDx integrates bias detection and mitigation mechanisms, leveraging demographic attributes such as skin tone to ensure equitable performance across populations. The architecture combines deep learning models (CNNs, ResNets) with fairness constraints, producing balanced diagnostic outcomes. This study demonstrates the potential of FairDx in creating trustworthy, inclusive, and ethical AI for healthcare.
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Category 1: Psychology Social Sciences
Category 2: Social Sciences
Author: Ishika Singh
Level of study[When the Paper was Published]: 12
Description: This paper is based on real life research among students to examine about the effect of stress.
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Category 1: Psychology Other
Category 2: Other
Author: Ishika Singh
Level of study[When the Paper was Published]: 12
Description: This paper analyzes “Main Character Syndrome” as a psychological phenomenon shaped by social media. It explores its effects on self-identity, behavior, and expectations among adolescents, highlighting both its positive and negative impacts.
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Category 1: Technology Other
Category 2: Other
Author: Alok Kairati, Adesh Yadav, Devesh Kumar Srivastav, Chandan Kumar
Level of study[When the Paper was Published]: BTech
Description: The Skill Barter System is a web-based platform that allows users to exchange skills without monetary transactions. It enables users to register, share skills, send requests, and provide feedback. The system is built using modern web technologies and Supabase for backend services. It promotes collaborative learning and makes skill development more accessible.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Lavya Gupta
Level of study[When the Paper was Published]: 11
Description: This is a research paper for The economics of Subscription Fatigue
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Category 1: Business&Fianance Other
Category 2: Other
Author: Rajnandini
Level of study[When the Paper was Published]: A
Description: The Central and State government plays a significant role in determining the taxes in India. To streamline the process of taxation and ensure transparency in the country, the state and central governments have undertaken various policy reforms over the last few years. One such change was the Goods and Services Tax (GST) which eased the tax regime on the sale and deliverance of goods and services in the countr
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Category 1: Technology Science
Category 2: Science
Author: Tamilarasan J
Level of study[When the Paper was Published]: CSE
Description: Phishing attacks continue to pose significant threats to online security by deceiving users into accessing malicious websites. This paper presents Phishgurd, an AI-powered phishing URL detection system designed to identify fraudulent URLs using machine learning techniques. The system extracts critical features and applies the XGBoost classifier. Experimental results demonstrate high performance with 99.5% accuracy, making it suitable for real-time applications.
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Category 1: Science Technology
Category 2: Technology
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report outlines the OpenHouse’24 project “AI Fraud Detector,” which demonstrates how AI can be used in cybersecurity to detect suspicious financial activities through an app and interactive webpage.
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Category 1: Science Technology
Category 2: Technology
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report outlines the Science OpenHouse’25 project “Behind the Tap,” which focuses on identifying app permissions, analyzing potential data risks, and educating users about protecting their personal information in the digital world.
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Category 1: Science Other
Category 2: Other
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report presents an account of the No Cracker Drive organized by the Ecotopia Club, showcasing a unique silent campaign aimed at spreading awareness about environmental sustainability and encouraging greener alternatives during Diwali.
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Category 1: Mathematics Other
Category 2: Other
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This practical report demonstrates the application of trigonometry in measuring heights using a clinometer, highlighting hands-on learning, observation skills, and real-life mathematical applications.
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Category 1: Humanities Law&Governance
Category 2: Law&Governance
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This position paper presents Chile’s perspective on the global issue of adolescent mental health, highlighting national strategies, ongoing initiatives, and recommendations for strengthening international efforts in suicide prevention and awareness.
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Category 1: Business&Fianance Other
Category 2: Other
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report presents an overview of the Career Talk on Hotel Management conducted for students of grades 9 to 12, covering key aspects such as industry structure, career pathways, required competencies, and educational opportunities.
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Category 1: Other None
Category 2: None
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report highlights the events and experiences of Senior School Sports Day ’24, showcasing students’ athletic performances, teamwork, and the spirit of sportsmanship.
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Category 1: Social Sciences Humanities
Category 2: Humanities
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report outlines the enriching educational visit to Amrit Udyan and the Rashtrapati Bhavan Museum, emphasizing the integration of environmental awareness, inclusivity, and India’s historical and political heritage.
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Category 1: Science Social Sciences
Category 2: Social Sciences
Author: Swarnika Singh
Level of study[When the Paper was Published]: XI
Description: This report provides a detailed account of a school visit to CHINTAN’s(New-Delhi Based) Waste Segregation Plant, focusing on the processes of waste segregation, recycling, and sustainability. It reflects the importance of responsible waste management and the need for collective action to protect the environment.
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Category 1: Science Health
Category 2: Health
Author: Khushi.R
Level of study[When the Paper was Published]: 3rd year undergraduate
Description: This research paper focuses on the impact of plastic degradation on the environment and human health. The study examines the process of plastic degradation, the formation of microplastics, and their harmful effects on ecosystems, marine life, soil, air, and humans. The research also analyzes public awareness and behavior regarding plastic usage through a questionnaire survey. The paper highlights the importance of waste management, recycling, eco-friendly alternatives, and sustainable practices to reduce plastic pollution.
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Category 1: Art&Design Psychology
Category 2: Psychology
Author: Roshni Ahuja
Level of study[When the Paper was Published]: 4th year
Description: It tell about eyesight of dogs
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Category 1: Humanities Psychology
Category 2: Psychology
Author: Adrika Noukakhi
Level of study[When the Paper was Published]: 12
Description: The text presents a deeply introspective exploration of unrealised identities, imagined selves, and the psychological consequences of unmet potential. At its core, the piece examines the tension between lived reality and speculative existence, framing imagination not merely as a creative faculty but as a parallel domain in which alternative versions of the self persist and evolve.
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Category 1: Humanities Other
Category 2: Other
Author: P.Durga Smikitha
Level of study[When the Paper was Published]: 10th
Description: This essay reflects on the true meaning of a “best friend,” going beyond simple closeness to describe a deep, unconditional bond built on trust, comfort, and understanding. It highlights how best friends are the people who support us at our lowest, celebrate our most personal moments, and accept us without judgment or expectations. The piece emphasizes emotional safety, loyalty, and the idea that a best friend is someone who stays by your side no matter what, often understanding you in ways others cannot.
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Category 1: Social Sciences Other
Category 2: Other
Author: Haswitha Nithya
Level of study[When the Paper was Published]: 10
Description: The true divide between the cinematic serial killer and the real-world criminal isn't just about intelligence—it’s about the soul of their actions. In Hollywood, the serial killer is often a dark philosopher, a "Luciferian" figure who views murder as a form of performance art. Think of the meticulous, aesthetic crime scenes in Hannibal or the biblical obsession of the killer in Se7en. These characters act with a sense of purpose and a twisted moral code, making them feel like grand, Shakespearean villains. Real-life killers, however, are far less poetic. While a fictional killer might leave a poem or a complex puzzle, a real-life killer typically leaves a trail of messy, disorganized evidence. Their crimes are born from a hollow, narcissistic need for power or sexual gratification rather than a desire to send a message to society. Where the fictional killer is an architect, the real killer is a scavenger—often choosing victims from society's fringes simply because they are "easier" to target without drawing immediate attention. The contrast in their social lives is equally jarring. Fictional killers are frequently portrayed as high-functioning "wolves in sheep's clothing" who possess an almost hypnotic charm or an intimidating, high-status career. In reality, while some like Ted Bundy could mimic social graces, many are socially inadequate, struggle to maintain steady employment, and live in environments that reflect their internal chaos. They aren't living in minimalist penthouses; they are often living in basements or unremarkable trailers. Ultimately, fiction makes the serial killer a "super-predator" to make the story more exciting. We want our villains to be brilliant because it makes the hero’s eventual victory feel more earned. But in the real world, there is no "worthy adversary" dynamic. Real serial killers don't want to be caught, they don't want to play games with the FBI, and they don't have a grand manifesto. They are not the brilliant shadows we see on screen; they are the tragic, broken results of a lack of empathy and a desperate, unchecked impulse. One is a nightmare we enjoy watching; the other is a reality we can barely
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Category 1: Technology Science
Category 2: Science
Author: Suresh Karena
Level of study[When the Paper was Published]: 8th semester
Description: Quality Assurance (QA) plays a critical role in modern software development, ensuring reliability, performance, and user satisfaction. This paper explores QA practices in Agile environments, tools, challenges, and solutions based on internship experience.
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Category 1: Business&Fianance Psychology
Category 2: Psychology
Author: Elizabeth Hu
Level of study[When the Paper was Published]: -
Description: Brand loyalty is the willingness of consumers to purchase items more than one time from a certain brand regardless of price, and it’s based more on the image and experience rather than in an economic perspective. Companies will use strategies such as best-in-class quality, customer service, brand ambassadors, and loyalty programs to build brand loyalty among consumers.
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Category 1: Science Other
Category 2: Other
Author: Sam Zhang
Level of study[When the Paper was Published]: -
Description: The Role of the Brain in Connecting Vision and Movement for Basketball Skills
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Category 1: Health Psychology
Category 2: Psychology
Author: Warda Sheikha
Level of study[When the Paper was Published]: -
Description: How excessive screen time and social media use affect sleep quality, memory performance, and emotional regulation in teenagers.
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Category 1: Science Other
Category 2: Other
Author: Chandresh C
Level of study[When the Paper was Published]: 11
Description: This paper derives the Schwarzschild radius, defining a black hole's event horizon, using Newtonian escape velocity formulas from the Class 11 Physics gravitation chapter, without general relativity. Black holes captivate because gravity becomes so intense that light cannot escape. This student project derives the Schwarzschild radius from basic Newtonian principles taught in Class 11. Imagine a massive star collapsing: the escape velocity needed to break free equals the speed of light at the event horizon boundary. This simple method predicts black hole sizes for real stars like the Sun, bridging classical gravity to modern astrophysics.
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Category 1: Psychology Law&Governance
Category 2: Law&Governance
Author: Sahasra Vaitla
Level of study[When the Paper was Published]: 9th
Description: This paper examines the crimes of Harold Shipman, detailing how medical trust was repeatedly exploited to commit murder. It traces the progression of his killings, the methods he used, and the psychological need for control that drove them. The paper also outlines the pattern of deaths that led to suspicion, investigation, and his eventual arrest, showing how prolonged abuse of authority can remain hidden within ordinary professional life.
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Category 1: Health Science
Category 2: Science
Author: Akshith Duvvi
Level of study[When the Paper was Published]: 11th
Description: This study investigates the antibacterial effects of garlic (Allium sativum) extract against household bacteria collected from contaminated surfaces such as toilet seats and door handles. The objective was to compare the effect of garlic extract at three concentrations (low, medium, and high) with a standard antibiotic, azithromycin. Agar plates were inoculated with bacterial samples, and sterile discs infused with either garlic extract or azithromycin were applied. Zones of inhibition were measured to assess antimicrobial activity. Results showed that garlic produced a concentration-dependent inhibitory effect, with larger inhibition zones at higher concentrations. However, azithromycin consistently demonstrated greater antibacterial activity than garlic. These findings suggest that while garlic exhibits measurable antimicrobial properties against diverse household bacteria, its effectiveness is lower than that of a broad-spectrum antibiotic. Garlic may thus hold potential as a natural supplementary antimicrobial agent, but it is not a substitute for conventional antibiotics
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Category 1: Technology Other
Category 2: Other
Author: Nayasha Kheechee
Level of study[When the Paper was Published]: 12th
Description: This study explores the integration of Artificial Intelligence (AI) and Emotional Intelligence (EI) in social robots, emphasizing their growing role in healthcare, education, management, and workplace environments. Using survey-based data and secondary literature, the research highlights how emotionally intelligent robots enhance human–robot interaction through empathy, adaptability, and social responsiveness. Numerical findings suggest over 65% user satisfaction improvement when EI-enabled robots are used in service environments, indicating strong practical relevance.
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Category 1: Architecture Social Sciences
Category 2: Social Sciences
Author: Naga Rishika
Level of study[When the Paper was Published]: 9th
Description: Monuments are not merely structures of stone and brick; they are living witnesses of our past that preserve history, culture, science, and human achievement. They connect us to our roots by telling stories of ancient civilizations, traditions, and values that shaped who we are today. Beyond their cultural and religious significance, monuments reflect advanced knowledge of science, architecture, and engineering, proving the brilliance of earlier minds. They also play an important role in the present by supporting education, tourism, and the economy. Once destroyed, their originality and historical truth can never be restored. Preserving monuments is therefore not just about protecting old buildings, but about safeguarding our identity, knowledge, and heritage for future generations.
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Category 1: Technology Business&Fianance
Category 2: Business&Fianance
Author: Ayisetti Syam Prasad
Level of study[When the Paper was Published]: MBA
Description: This research report provides a comprehensive study of quantum computing, exploring its fundamental principles, system architecture, and transformative applications in various fields. The report begins by introducing the concept of qubits, quantum superposition, and quantum entanglement, which form the core of quantum computing. It explains the quantum circuit model, including basic quantum gates such as Hadamard, CNOT, and X gates, with detailed visual representations to enhance understanding. Further, the report discusses the architecture of a quantum computing system, highlighting the role of cryogenic systems, quantum processors, control electronics, and integration with classical computers. Practical applications in cryptography, drug discovery, machine learning, optimization, and financial modeling are examined, demonstrating the potential of quantum computing to revolutionize industry and research. This study aims to equip MBA students and business professionals with the knowledge to understand how quantum computing can impact technology-driven businesses and strategic decision-making. Accompanied by illustrative diagrams and infographics, the report makes complex quantum concepts accessible to readers with varied technical backgrounds. Keywords: Quantum Computing, Qubits, Superposition, Entanglement, Quantum Gates, Quantum Architecture, Applications, Technology Management, Innovation.
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Category 1: Social Sciences Other
Category 2: Other
Author: Naga Rishika
Level of study[When the Paper was Published]: 9th
Description: This opinion piece argues that “peace” has lost its real meaning in today’s world, using the April 22, 2025 Pahalgam terror attack as its emotional and political core. Through vivid imagery and personal stories of the victims, the article highlights how innocent civilians, sacred spaces, and long-standing hopes for harmony have been shattered by hatred and violence. It traces the attack’s wider consequences—India’s military response, the breakdown of historic treaties, and the deepening fear among border communities—while emphasizing the human cost often ignored in geopolitical debates. Ultimately, the piece questions whether peace still exists beyond rhetoric, yet cautiously suggests that despite broken trust and lingering trauma, the possibility of peace should not be abandoned entirely.
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Category 1: Science Technology
Category 2: Technology
Author: Unwca
Level of study[When the Paper was Published]: 9th
Description: This is a small project my team and I worked on a little while ago about the kinds of things and technology you need to survive in space.
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Category 1: Architecture Psychology
Category 2: Psychology
Author: Sahasra Vaitla
Level of study[When the Paper was Published]: 9th
Description: This research paper focuses on architecture through the lens of psychology. The data for this paper was obtained from a survey conducted on 18 Indian individuals ranging from age groups 10–50. The survey had various questions with reference to architecture such as preferred lighting, preferred colors, etc. The responses vary from individual to individual and each response was meaningful and provided a fresh perspective on the impact of spaces in the life of a human being.
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