AI Finance Expense Tracker: An Intelligent Web-Based Personal Finance Management System

Author

Prof. Sanket Ghodake, Asst. Prof. Shubham Bhosekar, Asst. Prof. Devyani Ghatage, Shreyas Salunkhe, Pradnya Patil, Snehal Surve, Shivraj Jadhav

Abstract

 "With increasing difficulty in handling our personal finances due to the pace of modern times, we would be introducing our AI-based expense tracker tool, which allows the user to enter his or her earnings and expenses, categorization of expenditures, forecasted expenditure prediction, anomaly detection, and suggestions for budgeting. The system uses a web responsive UI along with some of the artificial intelligence techniques like machine learning classification, anomaly detection, and forecasting."

Keywords

Artificial Intelligence, Expense Tracker, Personal Finance, Budgeting, Machine Learning, Web Application, Forecasting, Analytics.

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References

1. The Power of Artificial Intelligence in Personal Finance: An Analytical Review of Current AI-Based Financial Tools (2023)
2. Automating Expense Tracking: Leveraging NLP and AI for Efficient Budget Management (2023)
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4. Application of Machine Learning Models in Financial Forecasting: A Novel Framework for Expense Prediction (2024)
5. AI-Driven Personal Finance Management Framework: Integrating ML and Personalized Engagement (2023)
6. Ethics and Discrimination in Artificial Intelligence-Enabled Financial Practices (2023)
7. Expense Tracking Using Large Language Models (IEEE, 2023)
8. AI-Based Budget Recommendation System Using NLP and Pattern Detection (2026)

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