Loan Approval Prediction

Table of Contents

• Loan Approval Prediction
  • Table of Contents
  • Introduction
  • Demo
    • Demo Link
    • Video Demo
  • Usage
  • Installation
    • Install dependencies:
    • Run the Flask application:
  • Prerequisites
  • Features
  • License
  • Contribution

Introduction

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.

Demo

Demo Link

You can access the live demo of the application here.

Video Demo

Usage

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.

Installation

1. Clone the repository:

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

2. Navigate to the project directory:

cd Loan-Approval-Prediction

Install dependencies:

pip install -r requirements.txt

Run the Flask application:

python app.py

Prerequisites

Ensure you have the following installed before running the application:

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

Features

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

License

MIT License

Contribution

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