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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: | |
```bash | |
pip install -r requirements.txt | |
2. Run the application: | |
```bash | |
python app.py | |
3. Access the frontend at `httpp://localhost:7860` | |
## Docker Support | |
Build and run the application using Docker: | |
```bash | |
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. |