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@article{186624,
        author = {USFAN ALI KHAN and SAHIL KUMAR and LOKESH T and T BHAGYALAKSHMI},
        title = {FINTRACK – AI Powered Finance Tracker and Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2134-2140},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186624},
        abstract = {FINTRACK is an AI-powered financial tracking and advisory platform designed to automate income and expenditure management while offering real-time recommendations to users. By integrating Artificial Intelligence (AI), Cloud Computing, and Data Visualization, FINTRACK not only tracks financial activities but also predicts spending patterns, monitors budgets, and provides intelligent financial advisory services. The system leverages Firebase for secure, cloud-based data storage, React.js for responsive user interfaces, and Python’s TensorFlow and Scikit-Learn libraries for machine-learning-driven insights. It applies Gated Recurrent Unit (GRU) models for forecasting overspending behavior and integrates Yahoo Finance APIs for up-to-date financial data. The rapid digital transformation of financial ecosystems has increased the need for intelligent personal finance management tools.
The goal is to bridge the gap between financial literacy and intelligent automation, empowering individuals and small businesses to make data-driven, transparent, and secure financial decisions. Experimental results demonstrated significant improvements in financial awareness, real-time tracking efficiency, and user engagement through intuitive visualization. This work contributes to the growing intersection of AI and fintech, proposing a scalable, ethical, and adaptive financial advisory model for the digital era.},
        keywords = {},
        month = {November},
        }