Flask Loan Prediction Model

A web application built with Python and Flask that predicts the probability of a loan being approved based on applicant details.

This was a development project for my Computer Engineering studies at PCCOE. The model is a Logistic Regression classifier trained on a loan dataset, using SMOTE to handle class imbalance.

Tech Stack

• Backend: Python, Flask
• Machine Learning: Scikit-learn, Pandas, Joblib
• Data Handling: SMOTE (for class imbalance)
• Frontend: HTML, CSS

How to Run

1. Clone the repository:

   git clone [https://github.com/YOUR_USERNAME/flask-loan-predictor.git](https://github.com/YOUR_USERNAME/flask-loan-predictor.git)
   cd flask-loan-predictor

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the required packages:

   pip install Flask joblib scikit-learn pandas

4. Run the app:

   python app.py

5. Open your browser and go to http://127.0.0.1:5000

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Developed by Pratik Bandgar