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@article{173485,
        author = {Tanuja Bedre and Hardik Bhagat and Isha Bhamare and Kunal Kapse and 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 = {374-381},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173485},
        abstract = {In the fast-evolving world of today, where people battle for long-term planning and financial stability, effective personal financial management is crucial. Handwritten notes or spreadsheets are examples of manual weight management techniques. They frequently fall short of offering the resources with the performance, insight, and accuracy required to make wise choices. The Expense Tracker online application, a cutting-edge platform that incorporates cutting-edge web technologies, is presented in this article. Personal financial management will be revolutionized by optical character recognition (OCR), machine learning (ML)-based expense prediction and real-time analysis.

The application is built on the MERN stack (MongoDB, Express.js, React.js, and Node.js) for a scalable, secure, and responsive architecture. It uses OCR technology to automatically extract data from invoices. This greatly reduces human error and improve user comfort Real-time data and graphical visualizations driven by Chart.js help customers keep an eye on spending trends. ML-based predictive analytics assists users in forecasting future expenses based on historical spending patterns, enhancing financial planning. You can monitor spending patterns and handle orders with more personalized categories. Two new storage solutions that offer efficient data management and device access are AWS S3 and MongoDB Atlas.

Key resources include secure user authentication via JSON Web Tokens (JWT), order management with automatic notifications for limit violations. and detailed financial reports issued through interactive pages. The application architecture follows a modular and scalable design. It facilitates complete cross-platform access and use of new services like Netlify and Heroku. Comprehensive testing including functional testing integrated testing and use testing confirm the reliability of the system and its impact on promoting financial awareness.

By integrating innovative processing, OCR, ML-based prediction and graphical analysis, this application not only addresses the limitations inherent in asset management frameworks; But it also prepares the basis for future advancements such as AI-based financial forecasting, collaborative planning and support for multiple currencies. The results demonstrate its effectiveness in transforming personal financial management into a simple, user-centric experience. It has become an important device for modern users.},
        keywords = {Expense Tracking, Personal Finance Management, MERN Stack, OCR Integration, Machine Learning Predictions, Budget Monitoring, Cloud Computing, Financial Analytics, Data Visualization, Real-Time Expense Analysis, Secure Authentication, Chart.js, MongoDB Atlas, Automated Expense Entry, AI-driven Financial Insights.},
        month = {March},
        }