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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
- Install dependencies:
pip install -r requirements.txt
- Run the application:
python app.py
- 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.