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@article{173623,
        author = {Hardik Bhagat and Tanuja Bedre and Isha Bhamare and Kunal Kapse and Prof. Shital Nalgirkar},
        title = {Expense Tracker: Empowering Users with Smart Budgeting and Financial Insights},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {908-913},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173623},
        abstract = {Strong fiscal management is very important in today's digital economy, where keeping track of and analyzing expenses manually can be tedious and error-prone. In this paper, the development and enhancement of an intelligent expense monitor with the use of the MERN stack (MongoDB, explicit.js, React.js, Node.js), ML for prediction of future revenue, Optical person recognition (OCR) for programmatic invoice information extraction, and Cloud integration for enhanced scalability and accessibility are provided.
This app allows consumers to easily capture, classify, and process their spends. The OCR feature, accompanying AI-based text reputation, captures important information (date, amount, service provider, description) from uploaded receipts, eliminating guide records access. The ML model, trained on historical spending habits, forecasts impending charges, aiding customers make informed financial decisions. Cloud-based completely deployment, utilizing AWS, F cozy records storing, real-time synchronization across multiple devices, and improved gadget scalability.
The backend, developed using Node.js and express.js, enables high-performance API processing and data manipulation, while MongoDB is a feature-rich NoSQL database for error-free expense tracking. The frontend, developed over React.js, provides a live, user-friendly, and adaptable consumer interface. Experimental effects suggest that the device greatly minimizes guide workload, enhances financial focus, and provides actionable insights to enable better budgeting and control of expenditures.
Through the combination of MERN stack, ML-based completely predictive analytics, OCR-driven automation, and cloud services, this intelligent cost tracker provides a comfortable, scalable, and intelligent economic management solution for modern users.},
        keywords = {Expense Tracker, MERN Stack, Machine Learning, OCR, Cloud Integration, Expense Prediction, Financial Management, Revenue.},
        month = {March},
        }