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Loan Approval Prediction System

This project is a Loan Approval Prediction System developed as part of my University Assignment for MLOps. It consists of a backend API built with Flask and a frontend interface built with Streamlit.

Features

  • Frontend: A user-friendly interface to input loan application details and view predictions.
  • Backend: A Flask-based API that uses a pre-trained machine learning model to predict loan approval status.

How to Run

  1. Install dependencies:
    pip install -r requirements.txt
    
  2. Run the application:
    python app.py
    
  3. Access the frontend at httpp://localhost:7860

Docker Support

Build and run the application using Docker:

docker build -t loan-approval .
docker run -p 7860:7860 loan-approval

Note

This project is for educational purposes only and is part of my MLOps University Assignment.