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# Loan Approval Prediction System
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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.
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## Features
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- **Frontend**: A user-friendly interface to input loan application details and view predictions.
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- **Backend**: A Flask-based API that uses a pre-trained machine learning model to predict loan approval status.
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## How to Run
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1. Install dependencies:
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```bash
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pip install -r requirements.txt
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2. Run the application:
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```bash
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python app.py
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3. Access the frontend at `httpp://localhost:7860`
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## Docker Support
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Build and run the application using Docker:
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```bash
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docker build -t loan-approval .
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docker run -p 7860:7860 loan-approval
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```
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## Note
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This project is for educational purposes only and is part of my MLOps University Assignment.
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