An Intelligent Personal Finance Management System With Automated Financial Data Processing And Machine Learning-Based Budget Forecasting

Author(s)	Dr. Srisudha Garugu, Ms. Varshitha Mandadi, Mr. Sushanth Reddy Puppala
Country	India
Abstract	Personal financial management plays an important role in maintaining financial stability and planning future expenses. With the rapid increase in digital banking and online transactions, large amounts of financial data are generated in electronic formats, making manual analysis difficult and error-prone. Traditional financial management systems mainly rely on manual tracking and provide limited analytical and forecasting capabilities. This research proposes an intelligent personal finance management system that integrates automated financial data processing, expense categorization, and machine learning-based budget forecasting. The system processes financial transaction data, categorizes expenses using machine learning techniques, and predicts future financial trends through regression and time-series forecasting models. The proposed system aims to improve financial awareness, provide real-time analytical insights, and support effective financial decision-making.
Keywords	Personal Finance Management, Machine Learning, Budget Forecasting, Expense Categorization, Financial Analytics, Predictive Analytics, Data Processing, Time-Series Forecasting, Regression Analysis, Intelligent Financial System
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 5, May 2026
Published On	2026-05-27

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