WEB-BASED EXPENSE TRACKING SYSTEM
This research paper presents the design and development of a Smart Expense Tracker with Analytics using Python. The system allows users to record daily expenses, categorize spending patterns, and visualize financial data through interactive charts. The project integrates data cleaning, classification, and visualization techniques to provide insights into budgeting and financial habits. The proposed system aims to help users manage their expenses more efficiently while offering a simple, user-friendly interface. Experimental results demonstrate that the tool improves financial awareness and supports informed decision-making.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-07
- DOI
- https://doi.org/10.5281/zenodo.17847698
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00