Ai-based Automatic Expense Tracking And Prediction System Using Machine Learning

Abstract

This Paper Presents An Artificial Intelligence-based Automatic Expense Tracking System Designed To Help Users Manage Their Financial Activities Efficiently. Traditional Expense Tracking Methods Require Manual Input And Lack Predictive Insights About Future Spending. The Proposed System Automatically Collects And Categorises Expenses And Applies Machine Learning Algorithms To Predict Future Spending Patterns. The System Processes Historical Transaction Data And Identifies Spending Behaviour To Generate Meaningful Insights. A Dashboard Visualisation Using Charts And Graphs Allows Users To Analyse Their Expenses Effectively. Machine Learning Techniques Such As Linear Regression And Decision Tree Algorithms Are Used To Forecast Future Expenditures. Experimental Results Show That The Proposed Model Improves Financial Awareness And Helps Users Plan Their Budgets Effectively. The System Can Be Integrated With Mobile Applications And Banking APIs For Real-time Financial Monitoring. This Approach Enhances Personal Finance Management Through Intelligent Prediction And Automated Analysis.

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