• Introduction
• Demo
  • Demo Link
  • Video Demo
• Usage
• Installation
• Prerequisites
• Features
• License
• Contribution

Loan Approval Prediction is a user-friendly web application that utilizes machine learning models to predict whether a loan application will be approved or not. With a clean and intuitive interface, users can easily input their information and receive a quick decision on their loan application.

You can access the live demo of the application here.

To use the Loan Approval Prediction application, follow the installation steps mentioned below and ensure all prerequisites are met. Then, run the Flask application and navigate to the provided URL in your web browser. Input the necessary information and submit to get the loan approval prediction.

1. Clone the repository:

git clone https://github.com/neerajcodes888/loan-approval-prediction.git

2. Navigate to the project directory:

cd Loan-Approval-Prediction

pip install -r requirements.txt

python app.py

Ensure you have the following installed before running the application:

• Python 3.11.4
• Flask
• scikit-learn
• HTML5-compatible web browser

• Predict loan approval based on user input.
• Beautiful UI design using HTML5 and Tailwind CSS.
• Efficient machine learning algorithms for accurate predictions.

MIT License

Copyright (c) [2024] [Neeraj Kumar]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Contributions are welcome! Feel free to open issues and pull requests.