Volume 14 | Issue 4

 Abstract

The research explores the intricate relationship between caste performativity and the politics of identity as depicted in Yashica Dutt's memoir, Coming Out as Dalit. The study identifies a primary research problem: the invisible yet exhausting labor required by Dalit individuals to "pass" as upper-caste within elite, urban, and globalized spaces. This performance, conceptualized as the "Savarna mask," is analyzed not as a choice for social mobility, but as a defensive response to deep-seated structural violence and the threat of institutional exclusion. This research investigates caste performativity and the politics of identity in Yashica Dutt's Coming Out as Dalit. It addresses a central research problem: the invisible, exhausting labor required by Dalits to "pass" as upper-caste in elite spaces. This performance, or the "Savarna mask," is analyzed as a defensive response to structural violence rather than a choice for mobility. The study argues that "passing" extracts a devastating psychological tax, causing a 'psychological split' and constant hypervigilance. For Dalit women, this results in a 'dual erasure' of both caste history and gendered agency to satisfy the fraudulent requirements of a "post-caste" society. This concealment is framed as "symbolic suicide," where the authentic self is negated to avoid discrimination. Furthermore, the research examines the transition from traumatic concealment to a politics of protest. By "coming out," the subject performs epistemic reclamation, transforming "stinging shame" into a defiant political standpoint. The study concludes that discarding the mask is the only antidote to "social asphyxiation," restoring the "social breath" of the community and establishing communal sovereignty against exclusionary meritocracies.

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 Keywords

Caste Performativity, Savarna Mask, Epistemic Reclamation, Structural Violence, Psychological Split, Dalit Identity, Politics of Protest, Social Asphyxiation.

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Financial literacy plays a crucial role in enhancing individual financial well-being and promoting economic stability. This study investigates the impact of income disparity on financial literacy levels. Primary data was collected from 52 respondents, categorized into lower-income (below INR25,000 per month) and higher-income (above INR25,000 per month) groups. Using descriptive statistics and correlation analysis, the study identifies significant differences in financial knowledge and behavior across income levels. Higher-income respondents demonstrate better understanding of key financial concepts such as interest rates, inflation, and risk diversification, along with stronger financial practices including savings, investment, and budgeting. The findings reveal a strong positive correlation (r = 0.68, p < 0.001) between income and financial literacy. The study concludes that income is a key determinant of financial capability and highlights the need for targeted financial education and policy interventions to bridge the literacy gap and promote inclusive financial development.

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 Keywords

Financial Literacy, Income Divide, Savings, Investment and Inclusive Growth

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 Abstract

भारतीय ज्ञान परंपरा: एक समाजशास्त्रीय, दार्शनिक एवं सांस्कृतिक विश्लेषण

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भारतीय ज्ञान परंपरा: एक समाजशास्त्रीय, दार्शनिक एवं सांस्कृतिक विश्लेषण

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The paper is a critical analysis of the correlation between capital punishment and the basic rights of people in the Indian constitutional and legal framework. The paper builds on the political philosophy and penological theory, especially those of Beccaria, Bentham, and Montesquieu, to question the purpose of the death penalty as a measure of deterring crime or a crime of denying humanity. Using a qualitative analysis of three landmark Indian judicial cases of Jagmohan Singh vs. State of U.P. (1972), Yakub Abdul Razak Memon vs. State of Maharashtra (2015), and Mukesh & Anr. vs. State (NCT of Delhi) & Ors. (2017), the paper provides evidence of inconsistencies in the use of the capital penalty as a system. The latest crime rates in the country according to the National Crime Records Bureau (NCRB) show that the death penalty has not proved to be effective in curbing high-profile crimes like terror attacks and rape. The article supports a life imprisonment being a more humane, constitutionally valid, and rehabilitative approach to capital punishment in India.

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Capital Punishment, Death Penalty, Individual Liberty, Judicial Inconsistency, Indian Judiciary, Fundamental Rights.

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Transesterification, waste cooking oil, purification of glycerine, activated carbon, sustainable chemical engineering, circular economy.

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Classroom and Timetable Scheduling has become an increasing part of the educational environment, as modern educational institutions have found that efficient use of classrooms and automating the timetable improves the overall academic activities and institutional productivity. The increased number of students and the diversity in the structure of courses demand a flexible and accurate timetable generation mechanism in the universities, colleges, and training institutes. This work proposes integrating the optimisation and AI-assisted models to generate timetables based on the institutional constraints. The models use the input datasets such as faculty availability, classroom capacity, program structure, student group distribution, and departmental regulations to successfully generate conflict-free timetables for the academic year. The motivation for this project comes from the challenges faced while manually or semi-automatically scheduling timetables. The issues with manual scheduling occur mainly because of the high complexity of the constraints, dynamic changes that may occur, and the lack of uniformity across different institutions. When it comes to automatic scheduling, the issues remain the same, but in addition to that, the system fails to provide a rationale for the generated schedule. The data inconsistencies and low generalizability of the timetable generation across institutions also pose a challenge. Another issue is the lack of a system that can bridge the gap between timetable generation and actual classroom management. The proposed system incorporates an AI-assisted optimisation with explainability and dynamic constraint handling. The proposed design also proposes a classroom-allocation system based on the utilisation of the resource, academic load balancing, and scheduling frequency.

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Smart Classroom Management, Automated Timetable Scheduling, Optimisation Algorithms, Resource Allocation, AI-Driven Academic Planning

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Intercity travel frequently presents challenges such as high transportation costs, limited direct connectivity, inflexible schedules, and inefficient utilization of private vehicles, where many cars travel long distances with empty seats, resulting in wasted fuel, increased traffic congestion, and higher carbon emissions. To address these issues, RideAlong is proposed as a web-based scheduled carpooling platform that intelligently connects drivers and passengers traveling between cities, enabling a more affordable, efficient, and sustainable mobility solution. Drivers can publish trip details including route, departure time, available seats, and cost per seat, while passengers can search for rides based on location, date, and preferences, and instantly book available seats through a seamless interface. The platform integrates secure OTP verification during registration and booking processes to ensure authenticated users and prevent fraudulent activities, thereby enhancing trust and safety. Additionally, a comprehensive rating and feedback system allows passengers and drivers to review each other after every trip, promoting accountability, transparency, and continuous service improvement. The cost-sharing mechanism helps drivers offset fuel and toll expenses while offering passengers a budget- friendly alternative to traditional travel options. By optimizing seat occupancy, reducing unnecessary vehicle trips, and fostering secure digital interactions, RideAlong not only improves travel convenience and affordability but also contributes to environmental sustainability by lowering emissions and encouraging shared mobility. Overall, the system establishes a collaborative, reliable, and eco- friendly intercity transportation ecosystem that benefits both drivers and passengers.

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Carpooling, Intercity Travel Ride Sharing Cost Optimization Sustainable Transportation Seat Utilization OTP Verification Online Booking System User Authentication Rating and Feedback System

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This study explores consumer behavior towards fast fashion and sustainable clothing among young individuals in India. Using primary data collected through a structured questionnaire, the research examines purchasing habits, awareness levels, and factors influencing fashion choices. The findings indicate that while a majority of consumers are aware of the environmental impact of fast fashion, their purchasing decisions are primarily driven by affordability, comfort, and trendiness. A significant gap exists between sustainability awareness and actual behavior. The study highlights that high cost, limited availability, and lack of style options are the major barriers to adopting sustainable fashion. The paper concludes that making sustainable fashion more accessible and affordable is essential to encourage responsible consumption.

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Fast fashion, sustainable fashion, consumer behaviour, India, Gen Z, sustainability

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Tribal societies of Chhattisgarh have traditionally relied on locally available animal resources to fulfill their nutritional requirements. These animal-based food sources play a vital role in providing high-quality proteins, essential amino acids, fats, vitamins, and micronutrients necessary for growth, immunity, and overall health. In remote tribal regions, where access to market-based food systems is limited, traditional dietary practices ensure food security and resilience. The present study explores the diversity of animal resources consumed in tribal areas of Chhattisgarh, their zoological classification, and nutritional significance. The study is based on a synthesis of secondary data, published ethnozoological literature, and observational analysis. Findings indicate that animal resources significantly contribute to the prevention of protein-energy malnutrition and micronutrient deficiencies. The study emphasizes the need to preserve indigenous food knowledge and integrate it into sustainable nutrition and development strategies.

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Keywords: Tribal nutrition, Ethnozoology, Animal-based food, Chhattisgarh, Nutritional security

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Abstract In an increasingly interconnected yet inequitable world, the pursuit of equity through public policy has become a central challenge for governments. While equality aims for uniform treatment, equity demands targeted interventions to achieve just outcomes, addressing historical and structural disadvantages faced by marginalized groups. This paper conducts a comparative analysis of global inclusion frameworks to evaluate their efficacy in promoting substantive equity. It examines three distinct policy models: the Universalist Welfare State (exemplified by the Nordic countries), the Multiculturalism Model (focusing on Canada), and the Developmental State with Affirmative Action (examining Rwanda's post-conflict framework). Through a qualitative, comparative case study methodology, this research analyzes policy documents, legislative frameworks, and secondary data on socio-economic outcomes. The analysis is structured around four key dimensions: conceptual foundations (equality vs. equity), policy instruments and implementation, outcomes and impact measurement, and contextual adaptability. The findings reveal that no single model is universally superior; rather, effectiveness is contingent on the alignment between policy design, historical context, and institutional capacity. The Nordic model excels in economic redistribution but faces challenges in recognizing ethnic diversity. Canada's multiculturalism fosters cultural recognition but shows gaps in addressing economic disparities. Rwanda's targeted approach has rapidly improved gender parity but operates within a politically constrained environment. The paper concludes that the most effective equity frameworks are hybrid, context-sensitive, and dynamically integrate redistributive measures with recognition politics to address the multifaceted nature of marginalization.

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Keywords: Equity in Public Policy, Comparative Policy Analysis, Social Inclusion Frameworks, Affirmative Action, Multiculturalism

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Dry Eye Syndrome (DES) is a multifactorial ocular surface disorder characterized by tear film instability and inflammatory changes, presenting with symptoms such as dryness, burning sensation, foreign body sensation, redness, and ocular fatigue. In Ayurveda, DES correlates with Shushkakshipaka, caused mainly by vitiation of Vata and Pitta Doshas. Conventional treatment with artificial tears like Carboxymethylcellulose (CMC) provides symptomatic relief but has limited long-term benefits. This randomized, controlled clinical study evaluated the add-on effect of Bhringarajaadi Tail Pratimarsha Nasya with CMC 0.5% eye drops in DES. Sixty patients were randomly divided into two groups of 30 each. Group A received Bhringarajaadi Tail Pratimarsha Nasya along with CMC eye drops, while Group B received CMC eye drops alone for 15 days. Subjective symptoms and objective parameters (TBUT and Schirmer-I test) were assessed. Statistical analysis using paired t-test, unpaired t-test, and Mann-Whitney U test showed highly significant improvement in both groups (p < 0.001), with Group A demonstrating superior results. The study concludes that the integrative approach is more effective and safe in the management of Dry Eye Syndrome.

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Dry Eye Syndrome; Shushkakshipaka; Bhringarajaadi Tail Nasya; Carboxymethylcellulose; Tear Film Break-Up Time; Schirmer Test; Integrative Ophthalmology

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This research paper explores investor behavior toward sustainable and impactful investments in the context of eastern Uttar Pradesh. It primarily aims to analyze investment volumes across different demographic groups, primarily age and income levels, and the role of behavioral biases such as hardening, gambling, over and loss aversion in investment decisions. This research paper uses primary data collected from 233 respondents and secondary data related to equity markets, behavioral finance, and financial markets relevant to the topic, including data from official websites and various research papers. The data revealed strong investor participation and the relevance of behavioral bias on investment decisions, as most investors acknowledged being environmentally influenced. Environmentally conscious sectors are increasingly appealing to investors, and a significant portion of their investments are focused on these investments when designing their portfolios. Along with financial returns, the desire to create positive environmental and social impact is emerging as a key motivating factor for investors. While many investors recognize the importance of aligning investments with personal values, there are varying levels of awareness and uncertainty about the financial performance of long-term investments among investors. Overall, this paper provides important insights into the shaping of investment practices in developing regions like eastern Uttar Pradesh and the growing relevance of value-based investments.

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Behavioral Biases, Sustainable Investment, Investor Behavior, ESG, Eastern Uttar Pradesh

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Keywords: Chickenpox, Knowledge, Mothers, Under-five children, Prevention, Anganwadi

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Managing large volumes of emails is time-consuming and often reduces productivity due to repetitive reading, drafting, and replying tasks. To address this challenge, this project proposes an Intelligent Email Management and Automation System using Agentic AI. The system employs Large Language Models (Gemini LLM) to produce context-specific professional email content from limited user prompts. Authentication to Gmail via OAuth 2.0 enables safe email sync and traffic control. The backend, developed in FastAPI, manages routing, intent identification, prompt assembly, and email dispatch, all presented to the user through a React frontend for drafting, rechecking, and amending content. Moving away from classic rule or robotic process automation (RPA) solutions, this API-based method guarantees quicker, more adjustable, and consistent operation. The framework facilitates tone modulation, individualization and complete email lifecycle automation, greatly lowers the time spent and increases the communication effectiveness. Empirical results show that the integrated system boosts productivity, sustains the stable email quality and exhibits the success of Agentic AI in practical email management scenarios.

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Agentic AI, Intelligent Email Management, Email Automation, Large Language Models, Gemini LLM, FastAPI, OAuth 2.0, Context-Aware Email Generation, SMTP Automation, React Frontend.

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India's Vision 2047 outlines an ambitious roadmap toward becoming a fully developed nation by its centenary of independence in 2047, emphasising poverty alleviation, economic self-reliance, environmental sustainability, social equity, and technological development. The study looks into how delicate ecosystems, weak governance, and regional political conditions interact within the Eastern Himalayas, specifically Sikkim and parts of northern West Bengal such as Darjeeling. Home to rich biodiversity and key rivers, this area is increasingly exposed to climate threats like repeated flooding and slope failures, worsened due to major construction works. Implementation gaps in policy have repeatedly intensified existing weaknesses here. This study explores regional issues through the lens of India's Vision 2047 plan. By examining academic research papers, policy documents, government reports, and credible news sources, the research attempts to find practical insights for policymaking, offering pathways to strengthen environmental adaptability, readiness for emergencies, and broader public involvement in governance across the Eastern Himalayas and similar regions.

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Eastern Himalayas, Fragile Ecosystems, Sustainable Governance, Vision 2047

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The swift expansion of digital media has significantly transformed the contemporary workplace. Its impact extends beyond communication, affecting how employees perceive and feel about their jobs. From perspectives in human resources and sociology digital platforms such as social networking sites professional discussion forums, and online content ecosystems increasingly shape employees view and evaluations of their workplace experiences stop this shift has left a concerning issue that is employees are increasingly forming their ideas about workplace wellbeing from external narratives rather than from the companies practices often based on stories that may be idolised fragmented or misaligned the actual situation within the company. next line in this regard the present study aims to create a conceptual framework that clarifies how exposure to digital media fix employees view on workplace wellbeing. This framework includes 4 key variables - digital media, employee perception, workplace well-being and organizational culture- to Explore their relationships. It emphasis the digital media serves as a primary means through which individuals interpret information, while employee perception refers to the cognitive processes used to comprehend these influences. Additionally organizational culture is regarded as a moderating factor that can either enhance or diminish the impact of external media The study contributes to our existing knowledge by proposing a theoretical model that integrates concepts from human resource management, sociology and media studies this model provides a more detailed understanding of well-being in the workplace in the context of digital era.

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Digital media, Workplace wellbeing, Employee perception, Organizational culture, Human resource management, Workplace dynamics.

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The article seeks to explore emotional silence and repression as key psychological patterns in the novel The Kite Runner by Khaled Hosseini with a focus on the role of suppressed emotions of guilt, fear and desire in guiding individual behavior. The article relies on Sigmund Freud's model of the human psyche consisting of the id, ego and superego to explain emotional silence. According to this model, emotional silence can be seen as the product of the interplay between instinctual drives and the limitations posed by moral and social constraints. The theory of human psychology helps to understand why characters behave emotionally silent and how this behavior creates tension within them. The article implies that emotional silence contributes to a psychological burden and confronting suppressed emotions is vital for personal growth and redemption. The article concludes that the balance between the id, ego, and superego is a crucial factor in resolving inner conflicts emphasizing the significance of emotional expression for psychological healing.

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Emotional silence, Repression, Psychoanalysis, Redemption

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Businesses and professionals often rely on Google Sheets for storing and managing data, but analyzing this data manually is time-consuming and requires significant technical expertise. This project introduces an AI-powered analytics dashboard that seamlessly integrates Google Drive, AI-based analysis, and dynamic visualization to make data insights accessible to users without technical skills. The platform enables Google OAuth2 authentication, spreadsheet browsing, and automatic data import with a chat-based AI query interface for intelligent insights and interactive chart generation. Built using Python, Django/Flask, React, and integrated with the Gemini API, the system automates data understanding, reduces dependency on technical analysts, and democratizes data-driven decision-making for businesses, students, researchers, and professionals across domains.

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Artificial Intelligence, Analytics Dashboard, Google Drive Integration, Natural Language Processing, OAuth2 Authentication, Data Visualization, Gemini API, Predictive Analytics, React, Python

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This research explored how ghosting behavior and Consideration of Future Consequences (CFC) predict the frequency of creating positive and negative romantic relationships among young adults. As digital disengagement strategies such as ghosting become more common, understanding how cognitive orientation and relational behaviors affect romantic relationships is very important. A sample of 100 young adults between the ages of 19 and 29 were surveyed using the Consideration of Future Consequences Scale, the Romantic Ghosting Scale, and the Positive-Negative Relationship Quality Scale. Data was analyzed using Pearson correlation and multiple regression analysis. The results suggested that CFC is not related to positive or negative relationship quality and does not predict relationship outcomes. On the other hand, ghosting behaviours, such as being ghosted, were significantly related to lower levels of positive relationship quality and higher levels of negative relationship quality. Being the victim of ghosting is the most significant and consistent predictor of relationship quality than ghosting others when controlling for ghosting victimisation. The model presented an overall predictive value of approximately 25 to 27% of the variance of relationship quality. The research showed that an individual's interpersonal experiences, particularly those involving rejection via ghosting, have a greater impact on the quality of intimate relationships among young adults than any type of prospective, future-focused, cognitive style. The findings indicate how communication and relational behavior patterns shape the romantic relationships of young adults.

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Consideration of Future Consequences, Ghosting Behavior, Relationship Quality, Young Adults, Romantic Relationships

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Medicinal plants play a vital role in traditional and modern healthcare systems. Accurate identification of these plants is essential for their effective utilization, yet manual identification requires domain expertise. This paper presents an end-to-end deep learning-based system for identifying medicinal plants using leaf images and providing their medicinal uses through an intelligent assistant. The proposed system utilizes a Convolutional Neural Network (CNN) based on MobileNetV2 with transfer learning for efficient image classification. The model is trained on a dataset containing 19 medicinal plant species and achieves high classification accuracy. The system is integrated into a web application developed using Flask, enabling users to upload leaf images and obtain real-time predictions along with confidence scores. Additionally, an AI-powered chatbot is incorporated using LangChain and Groq API to provide context-aware responses about plant uses, preparation methods, and safety information. The system demonstrates the effective combination of computer vision, machine learning, and conversational AI for real-world applications in healthcare and agriculture.

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Deep Learning, Convolutional Neural Network (CNN), MobileNetV2, Medicinal Plants, Image Classification, Transfer Learning, Flask, AI Chatbot

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Creative Commons Attribution 4.0 and The Open Definition