💰 Personal Finance Advisor using Supervised Learning

A data-driven machine learning project designed to analyze and predict personal finance behavior. Using real-world inspired Indian financial data, the project provides insights into spending habits, forecasts future expenses, and visualizes macroeconomic trends like inflation and digital transaction growth.

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🧠 Project Goals

• 🔍 Classify individuals into categories like Saving, Overspending, and Balanced
• 📈 Predict next month's spending using current financial indicators
• 📊 Analyze inflation data from RBI and digital payment trends from NPCI
• 🧩 Understand feature importance and financial decision-making

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🧪 Machine Learning Models Used

Model	Purpose
Random Forest Classifier	Classifies individuals based on their spending behavior
Linear Regression	Predicts next month’s spending using current financial data

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📁 Project Structure

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├── data.csv                       # Main dataset with personal finance data
├── inflation_data.csv            # RBI CPI data (cleaned and formatted)
├── upi_transactions.csv          # UPI transaction volume & value
├── finance_behavior_classifier.py   # Random Forest model for classification
├── expense_forecast_regression.py   # Linear Regression model for prediction
├── inflation_trend_plot.py          # Visualizes average inflation over years
├── upi_growth_analysis.py          # Analyzes UPI growth
└── README.md