A machine learning-powered expense tracking application that helps you manage your finances better by automatically categorizing expenses and providing intelligent insights.

• User authentication system
• Automatic expense categorization using machine learning
• Visual expense analytics with charts
• Smart budget recommendations
• Expense trend analysis
• Responsive web interface

• Python 3.8+
• Flask (Web Framework)
• SQLAlchemy (Database ORM)
• scikit-learn (Machine Learning)
• Plotly (Data Visualization)
• Bootstrap 5 (Frontend Framework)
• SQLite (Database)

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Initialize the database:

python
>>> from app import app, db
>>> with app.app_context():
...     db.create_all()
>>> exit()

4. Run the application:

python app.py

5. Open your browser and navigate to http://localhost:5000

1. Register a new account or login with existing credentials
2. Add your expenses using the form on the dashboard
3. The ML model will automatically suggest categories based on your description and amount
4. View your expense distribution in the pie chart
5. Track your spending patterns in the expense history table

• Automatic expense categorization using Random Forest Classifier
• Feature extraction from expense descriptions
• Continuous model improvement as more data is collected
• Personalized category suggestions based on user history

• Secure password hashing
• User session management
• CSRF protection
• Input validation and sanitization

1. Fork the repository
2. Create a new branch for your feature
3. Submit a pull request

MIT License "# smart-expense-tracker"