A machine learning-powered web app that predicts credit default risk, built using Streamlit and deployed on Streamlit Cloud.
- Interactive dashboard with borrower profile input
- Real-time risk prediction (Low/Medium/High)
- Color-coded visual results (Green/Yellow/Red)
- Loan-to-income ratio calculator
- Responsive design for all devices
- Python 3.9+
- pip package manager
git clone https://github.com/ganagalakshmi/credit-risk-analysis.git cd credit-risk-analysis
python -m venv venv source venv/bin/activate # Linux/Mac venv\Scripts\activate # Windows
pip install -r requirements.txt
##Run Locally streamlit run app.py Visit http://localhost:8501 in your browser.
📸 Screenshots
Input Form
https://assets/app-main.png
Risk Prediction
https://assets/app-result.png
🌐 Deployment Deployed on Streamlit Cloud: https://credit-risk-analysis-app.streamlit.app/
📜 License Distributed under the MIT License. See LICENSE for more information.
📧 Contact www.linkedin.com/in/ganagalakshmi-mahadevan Project Link: https://github.com/ganagalakshmi/credit-risk-analysis