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Ancient Indian Scripture Based Retrieval-Augmented Systems: A Comprehensive Analysis

This paper focuses on the development and systematic comparison of Retrieval-Augmented Generation (RAG) systems, retrieval-only systems and LLM models all trained on ancient Sanskrit Scriptures. This was done in order to analyse whether RAG systems improved faithfulness in answers to reflective questions, by storing two pertinent Sanskrit scriptures: the Itihasa (including the Mahabharata and Ramayana) and the Bhagavad Gita in a FAISS index, I developed the following: a basic retrieval system from the FAISS index, a prebuilt LLM model (Qwen 2.5-3B-Instruct), an RAG system with the LLM model Qwen 2.5-3B-Instruct and an RAG system with Gemini 2.5 Flash. After development, I evaluated the four models on a list of twenty questions pertaining to philosophy, interpersonal and intrapersonal understanding, and emotional well-being. I ranked each answer on a scale from 1 to 5 on relevance, helpfulness, clarity and faithfulness. All retrieval and RAG models scored a perfect 5 in the ‘faithfulness’ metric in contrast to the base LLM model, which scored a 4.3. Moreover, I discovered that the use of a weaker LLM model in an RAG system can lead to worse results in the ‘helpfulness’ and ‘clarity’ metrics when compared to a regular LLM model when the retrieved verses are low. Through the methods and results of my research, I showed that RAG systems are necessary to provide specific and faithful answers from ancient Sanskrit philosophy.

Published by: Pradhyumna Prakash

Author: Pradhyumna Prakash

Paper ID: V11I5-1176

Paper Status: published

Published: October 6, 2025

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Research Paper

IPO Timing and Market Readiness: An Interdisciplinary Review of Strategic Entry Points

This study provides an interdisciplinary examination of the determinants of Initial Public Offering (IPO) timing and market readiness. Integrating perspectives from economics, financial consultancy, trading practice, and entrepreneurial decision-making, the analysis demonstrates that IPO performance is contingent upon both external market conditions and internal organisational preparedness. Economists underscore the influence of macroeconomic cycles, venture capital flows, and volatility indices in shaping IPO windows. Financial consultants emphasise the critical role of governance structures, financial integrity, and operational discipline in sustaining post-listing stability. Traders, in contrast, interpret IPOs primarily as events of liquidity and sentiment-driven volatility, privileging short-term momentum indicators over fundamentals. Business leaders conceptualise IPOs as transformative junctures, motivated by capital sufficiency, investor dynamics, and founder psychology. The study concludes that successful IPOs emerge not from opportunistic timing alone but from the alignment of external conditions with institutional resilience, governance capacity, and long-term strategic vision.

Published by: Aaryan Rahul Sethi

Author: Aaryan Rahul Sethi

Paper ID: V11I5-1169

Paper Status: published

Published: October 1, 2025

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Research Paper

Analysing Gender Bias in Job Descriptions Using Machine Learning and NLP Techniques

The growing use of automated recruitment systems has raised concerns about gender bias in job descriptions. Subtle linguistic cues can discourage qualified candidates from underrepresented groups, reinforcing workplace inequality. This study presents a computational framework using Natural Language Processing (NLP) and Machine Learning (ML) to detect and analyse such bias. The methodology involves text preprocessing, gender-coded word scoring, topic modelling with Latent Dirichlet Allocation (LDA), clustering via KMeans, and visualisation through t-SNE. A curated lexicon of masculine- and feminine-coded words assigns bias scores, while topic modelling uncovers latent themes in postings. Clustering groups of semantically similar descriptions enables analysis of bias distributions across occupational categories. Findings show that bias varies by job type: technical and managerial roles tend to use more masculine-coded language, while service and support roles favour feminine-coded terms. Semantic cluster visualisations confirm systemic patterns in word usage. This research underscores the need for fairness-aware audits in recruitment, offering both theoretical and practical insights into bias detection. The framework provides organisations with a scalable tool to identify and mitigate hidden biases, promoting inclusive hiring practices and supporting compliance with ethical and regulatory standards.

Published by: Sanvi Choukhani

Author: Sanvi Choukhani

Paper ID: V11I5-1163

Paper Status: published

Published: September 27, 2025

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Research Paper

What are the Economic Implications of Congestion Pricing on Urban Traffic Management?

Urban congestion poses significant economic, social, and environmental challenges, from wasted fuel and time losses to deteriorating air quality. Congestion pricing has emerged as a policy tool to address these negative externalities by charging vehicles for road use in high-demand areas. This paper examines the economic implications of congestion pricing through both theoretical foundations and case studies from London, Stockholm, and Singapore, while also considering its potential in India. Findings show that congestion pricing reduces traffic volumes, increases travel speeds, and generates substantial revenues that can be reinvested into public transportation and sustainable infrastructure. However, its effectiveness depends heavily on equitable policy design, with exemptions, subsidies, and transparent reinvestment strategies playing a key role in public acceptance. The analysis concludes that while congestion pricing is not a standalone solution, it can serve as a cornerstone of sustainable urban mobility when integrated with broader strategies for equity, technological innovation, and inclusive growth.

Published by: Shaurya Vikas Agarwal

Author: Shaurya Vikas Agarwal

Paper ID: V11I5-1157

Paper Status: published

Published: September 25, 2025

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Research Paper

From Concept to Creation: Prototyping A Centrifugal Projectile Launcher and Analyzing Its Performance

This study presents the design, prototype, and performance analysis of a centrifugal projectile launcher. The research encompasses the conceptual design, key components, and manufacturing processes involved in creating the launcher. The design considerations include material selection, structural integrity, aerodynamics, and precision. The manufacturing process details the fabrication of the rotating arm, integration of the motor and power source, development of the projectile release mechanism, and implementation of safety features. Extensive testing was conducted to evaluate the launcher's performance, analysing parameters such as rotation speed, projectile shape and other characteristics. The results provide insights into its launch velocity, revolutions per minute, precision, and energy efficiency. The study also explores potential future applications and improvements, including advanced materials, automated systems, and scaling possibilities. This research contributes to the understanding of centrifugal projectile launchers and their potential applications in scientific research, sports, and industry.

Published by: Aradhya Sharma

Author: Aradhya Sharma

Paper ID: V11I5-1159

Paper Status: published

Published: September 25, 2025

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Research Paper

How Technologies are Negatively Influencing the New Generation’s Behaviour, Work Ethic, and Thinking Skills

This paper examines how modern technologies—including smartphones, social media, and artificial intelligence tools—are reshaping the behaviour, work ethic, and thinking skills of the younger generation. It argues that increasing dependence on AI is weakening critical thinking, while the addictive nature of social media fosters anxiety, unrealistic comparisons, and shortened attention spans. Additionally, the growing obsession with quick success and online fame is replacing discipline, patience, and long-term goal setting with a culture of instant gratification. Ethical concerns are also explored, particularly regarding harmful content exposure and algorithm-driven engagement that disregards age appropriateness. The paper concludes that while technology offers opportunities, its unchecked influence risks producing a generation less resilient, less creative, and more dependent on external systems. It emphasises the urgent need for education, parental guidance, and stricter regulation to ensure healthier digital habits and safeguard the future of young people.

Published by: Daksh Shevakramani

Author: Daksh Shevakramani

Paper ID: V11I5-1153

Paper Status: published

Published: September 24, 2025

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