🏦 Loan Approval Prediction

This is a Loan Approval Prediction Web App built with FastAPI (Backend) and HTML, CSS, JavaScript (Frontend).
It predicts whether a loan application will be approved or not approved based on user input.

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🚀 Features

• ✅ User-friendly frontend built with HTML, CSS, JavaScript
• ✅ Backend powered by FastAPI
• ✅ Machine Learning model for loan approval prediction
• ✅ Clean and simple UI
• ✅ Fast and interactive response

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📸 Demo

Video Demo

▶️ Watch Demo on YouTube

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⚙️ Tech Stack

• Backend: FastAPI
• Frontend: HTML, CSS, JavaScript
• ML Model: Scikit-learn (or whichever you used)
• Deployment: Local / (mention if deployed online)

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🛠️ Installation

1. Clone this repository

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

Install dependencies

bash
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pip install -r requirements.txt

Run the FastAPI backend

bash
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uvicorn backend.main:app --reload

Open the index.html file in your browser for the frontend

📊 Dataset

The model is trained on a Loan Dataset with features like:

Applicant Income

Co-applicant Income

Loan Amount

Loan Term

Credit History

Property Area

🙌 Contribution

Pull requests are welcome. If you’d like to contribute, please open an issue first to discuss what you’d like to change.

📩 Contact

Created by Ali Ahmad – feel free to reach out!

LinkedIn: (https://www.linkedin.com/in/ali-ahmad-dawana/)

Email: aliahmaddawana@gmail.com