Loan Approval Prediction

Overview

This project aims to predict loan approval using machine learning techniques. It provides a comprehensive solution for financial institutions to automate and streamline their loan approval process.

Demo Video

Loan Approval Prediction

This repository contains the code and resources for predicting loan approval status using machine learning models.

Demo Video

Features

• Data ingestion and preprocessing
• Machine learning model training and evaluation
• Web application for real-time predictions
• Containerized deployment using Docker

Tech Stack

• Python
• Jupyter Notebook
• Flask
• Docker

Project Structure

Lone_approval_prediction/
├── .github/workflows/
├── artifacts/data_ingestion/
├── config/
├── research/
├── src/lone_approval_prediction/
├── templates/
├── .gitignore
├── Dockerfile
├── LICENSE
├── README.md
├── app.py
├── main.py
├── params.yaml
├── requirements.txt
├── schema.yaml
├── setup.py
└── template.py

Installation

1. Clone the repository:

   git clone https://github.com/RohitPawar001/Lone_approval_prediction.git
   

2. Install dependencies:

   pip install -r requirements.txt
   

Usage

1. Run the main application:

   python main.py
   

2. Access the web interface at http://localhost:5000

Docker Deployment

1. Build the Docker image:

   docker build -t loan-approval-prediction .
   

2. Run the container:

   docker run -p 5000:5000 loan-approval-prediction
   

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Contact

Rohit Pawar - GitHub Profile

Project Link: https://github.com/RohitPawar001/Lone_approval_prediction