Loan Approval Predictor

This is a simple loan approval predictor application built using FastAPI and scikit-learn. It predicts whether a loan application will be approved or denied based on input features such as age, income, loan amount, etc.

Features

• Frontend: HTML form with Bootstrap for styling.
• Backend: FastAPI for serving predictions.
• Machine Learning Model: Decision Tree Classifier trained using scikit-learn.
• Data: CSV dataset containing loan application information.

Installation

1. Clone the repository:

git clone https://github.com/santhosh-vairamuthu/Loan-Approval-Predictor

2. Install dependencies:

pip install -r requirements.txt

3. Run the FastAPI application:

uvicorn app.main:app --reload

Usage

1. Open your web browser and go to http://localhost:8000 to access the loan application form.
2. Fill out the form with the required information.
3. Submit the form to get the loan approval prediction result.

Dataset

The dataset used for training the model is stored in app/ml/loan_data.csv. It contains information about loan applications, including age, income, loan amount, credit score, etc.

License

This project is licensed under the MIT License. See the LICENSE file for details.