Archives: Research Paper

AN EMPIRICAL STUDY ON DIGITAL FINANCIAL INCLUSION AMONG MARGINALIZED COMMUNITIES IN THE ERA OF AMRIT KAAL

Digital Empowerment of Women in Traditional Business Sectors

Smart Cities and Green Growth: Transforming Urban India for a Sustainable Future

Promoting financial inclusion for Economic Development:Leveraging AI and data analytics in the banking sector

Artificial Intelligence (AI) is transforming higher education environments by acting not just as a set of tools but as an active pedagogical partner. In recent years, the proliferation of AI has transformed the way children interact with the world. AI has become ubiquitous, offering unprecedented access to information, entertainment, and social connectivity. While AI technology…

Designing Inclusive AI Learning Systems Aligned with NEP 2020 Competency-Based Education

The National Education Policy (NEP) 2020 emphasizes competency-based education, equity, and inclusive learning through effective integration of technology. Artificial Intelligence (AI) offers significant potential to design adaptive and inclusive learning systems that cater to diverse learner needs, abilities, and socio-cultural backgrounds. This study focuses on designing an AI-driven inclusive learning framework aligned with NEP 2020…

DIGITAL FINANCIAL INCLUSION MEETS CLIMATE INTELLIGENCE : A MACHINE LEARNING – BASED WEATHER PREDICTION FRAMEWORK FOR MARGINALIZED COMMUNITIES

Artificial Intelligence for Sustainable Development: Convlstm-Transformer Models for Weather Prediction and Personalized Learning in Inclusive Education Under NEP

Artificial Intelligence for Sustainable Development: Convlstm-Transformer Models for Weather Prediction and Personalized Learning in Inclusive Education Under NEP

AI-Based Detection of Digital Fraud in UPI Transactions Using XGBoost

The rapid adoption of Unified Payments Interface (UPI) systems in India has led to a significant rise in digital financial transactions, accompanied by an increase in fraudulent activities. This research proposes an AI-based fraud detection framework using the XGBoost machine learning model to identify fraudulent UPI transactions effectively. Transactional features such as amount, frequency time…

Neuro-EvoSwarm Optimizer: A hybrid deep learning, genetic algorithm and particle swarm optimization model for multicropping strategy optimization across irrigation sytems-International Journal of Multidisciplinary Research and Development

Abstract Multicropping has emerged as an effective strategy to enhance agricultural productivity, improve land-use efficiency, and reduce risks associated with climate variability. However, identifying optimal crop combinations and irrigation strategies is a complex optimization problem involving nonlinear relationships among crops, soil conditions, and water availability. This study proposes a hybrid optimization framework named the Neuro‑EvoSwarm…