Expense Tracker with In-Built AI
In the current digital economy, handling personal funds might be difficult. The web-based expensetracking application presented in this study was constructed using React.js and has an architecture that isprepared for financial insights powered by artificial intelligence. Through an easy-to-use, dynamic interface,users can enter, classify, and track income and expenses in real-time. Consistent state management betweencomponents is guaranteed by React's Context API. Financial reports and history are dynamically renderedby the system, and AI integration for predictive analytics and budget advice is planned for the future. Itfacilitates smooth interaction and precise financial tracking when implemented as a single-page application.With future developments including machine learning and natural language processing for tailoredrecommendations and automated transaction classification, this project demonstrates the potential of fusingcutting-edge online technology with intelligent data processing.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-14
- DOI
- https://doi.org/10.5281/zenodo.15400205
- Primary Topic
- Personal Information Management and User Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00