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Volume: 12 Issue 03 March 2026


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Smart Expense Tracker With Goal Forecasting And User Behavior Clustering Using Ai

  • Author(s):

    Keerthiga K S | Pramila A | Sasikala M

  • Keywords:

    AI-Based Clustering, Django Framework, Expense Monitoring, Financial Analytics, Goal Forecasting, Machine Learning, Smart Expense Tracker, User Behavior Analysis.

  • Abstract:

    Managing Personal Finances Effectively Has Become A Necessity In Today’s Fast-paced Lifestyle. While Several Expense Tracking Applications Exist, Most Focus Only On Recording Income And Expenses, Offering Basic Summaries Without Deeper Analysis Or Intelligent Goal Management. Such Limitations Make It Difficult For Users To Understand Their Spending Habits, Stay Motivated Toward Long-term Goals, Or Receive Accurate Forecasts For Achieving Them. Without Advanced Tracking And Insights, Users Often End Up With Scattered Financial Data That Lacks Actionable Meaning. Many Existing Tools Fail To Address Crucial Aspects Such As Precise Goal Forecasting, Clear Visualizations Of Category-wise Spending, And The Ability To Analyze And Adapt To User Behavior Over Time. They Often Lack Secure Multi-user Access And Intelligent Clustering Of Users With Similar Spending Patterns. As A Result, Users Miss The Opportunity To Gain Personalized Recommendations That Could Guide Them Toward Better Financial Decisions.Our Project Bridges These Gaps By Providing A Secure And Intelligent Platform For Financial Management. Users Can Set Personal Goals, Log Expenses Under Predefined Categories, And Instantly See Their Monthly Savings Along With An Accurate Time Forecast To Reach Their Goals In Years, Months, And Days. The System Offers Engaging Visual Insights Through Pie Charts And Applies AI-based Clustering To Identify Spending Behavior Trends. By Combining Forecasting, Analytics, And Behavioral Intelligence, The System Transforms Simple Expense Logging Into A Proactive Tool For Financial Planning And Goal Achievement.

Other Details

  • Paper id:

    IJSARTV11I10104152

  • Published in:

    Volume: 11 Issue: 10 October 2025

  • Publication Date:

    2025-10-22


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