Daily Archives: February 24, 2026

Authors: Mrs.S.Subha, Jeeva Pandiyan S, Kaviyarasan E, Najeeb Ahmed S

Abstract: The AI-Powered Platform for Personal Finance aims to simplify and enhance individual financial management through intelligent, data-driven solutions. The platform utilizes artificial intelligence and machine learning algorithms to examine user financial records such as income, expenditures, savings, and investment behavior. Based on these analyses, the system generates personalized budgeting strategies, spending insights, and predictive forecasts to support better financial decision-making. Natural language processing is incorporated to enable intuitive, conversational interaction, allowing users to access financial guidance in real time. In addition, advanced analytics help identify potential financial risks and opportunities, assisting users in optimizing savings and investment plans. Strong security measures and privacy-aware data handling techniques are embedded to protect sensitive financial information and ensure compliance with regulatory standards. Performance evaluation indicates that the platform significantly improves financial awareness, encourages disciplined spending habits, and enhances long-term financial planning. Overall, the proposed AI-based personal finance platform provides a scalable, secure, and intelligent approach to managing personal finances, empowering users with actionable insights for achieving financial stability and sustainable economic growth.

DOI: https://doi.org/10.5281/zenodo.18753748

Published by: vikaspatanker

Authors: Akshada Ashok Bhor, Vaishnavi Arun Jadhav, Pranali Suresh Vadaje, Urvashi Raosaheb Mahajan, Prof Dr. Monika Deshmukh

Abstract: Women’s safety is a major socio-technological concern globally, with increasing cases of harassment, assault, and threats both in public and private spaces. There is a growing need for innovative solutions that ensure protection, provide quick assistance, and evaluate environmental risks. This project introduces a comprehensive Women Safety and Evaluation System that utilizes modern technologies such as GPS tracking, emergency communication, real-time alert generation, and data-based safety evaluation. The system allows users to trigger emergency alerts, share live location with trusted contacts, and notify authorities instantly. Additionally, it incorporates evaluation mechanisms to analyze unsafe zones based on past incidents, user feedback, and contextual factors. By integrating these features, the project provides a proactive and reactive safety framework aimed at minimizing response time, preventing harm, and enhancing awareness. The objective of this system is to create a secure environment where women feel protected, confident, and supported. The solution serves as a technological bridge between victims and responders, promoting safety, empowerment, and a more secure society.

DOI: https://doi.org/10.5281/zenodo.18753530

Published by: vikaspatanker