Personal Finance Assistant

An AI-powered tool for managing personal finances with features like budget recommendations, expense categorization, and forecasting. Developed to enhance my AI/ML skills.

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Features

• Predictive Expense Categorization: Classifies expenses based on transaction descriptions.
• Budget Recommendations: Suggests monthly budgets based on income and past expenses.
• Expense Forecasting: Predicts future expenses using time-series analysis.

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Tech Stack

• Backend: Python
• ML Libraries: NumPy, Pandas, Scikit-learn, Statsmodels
• Interface: Streamlit

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Steps to Run

1. (Optional) Add more data in the data folder

2. (Optional)Train models:

   python training/train_classifier.py
   python training/train_regressor.py
   python training/train_forecaster.py 

3. Run the app:

   streamlit run main.py

4. Access the app at http://localhost:8501.

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Machine Learning Models

• Predictive Expense Categorization: Logistic Regression
• Budget Recommendations: Linear Regression
• Expense Forecasting: Exponential Smoothing (Time-Series)

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License

MIT License.