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🏦 Loan Prediction UI

A simple machine learning web application that predicts whether a loan will be approved or not based on applicant details. Built using Python, scikit-learn, and Gradio.

πŸ“Œ Project Overview

This project uses a trained machine learning model to predict loan approval status. The UI is developed using Gradio for quick and easy interaction.


πŸš€ Features

  • User-friendly Gradio interface
  • Fast predictions using a trained ML model
  • Input features include gender, education, income, credit history, and more
  • Lightweight and easy to deploy

πŸ“ Files Included

  • app.py - Main Gradio application
  • model.pkl - Pre-trained loan prediction model (serialized using joblib or pickle)
  • requirements.txt - Python dependencies
  • README.md - Project documentation

πŸ“Š Input Features

  • Gender
  • Married
  • Education
  • Applicant Income
  • Coapplicant Income
  • Loan Amount
  • Loan Amount Term
  • Credit History
  • Property Area

βš™οΈ How to Run

  1. Clone the repository:
    git clone https://github.com/yourusername/Loan-Prediction-UI.git
    cd Loan-Prediction-UI

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