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