A simple machine learning + Flask web application that predicts heart disease based on user medical details.
- User-friendly and responsive web interface
- 13 medical input fields (age, sex, cholesterol, etc.)
- Real-time disease prediction using a trained ML model
- Works on both desktop and mobile devices
- Deployed on Render
- Backend: Python, Flask
- Frontend: HTML, CSS, Bootstrap, JavaScript
- Machine Learning: scikit-learn, pandas, numpy
- Model: Logistic Regression
git clone https://github.com/your-username/HeartCare-AI-Web-App.git
cd HeartCare-AI-Web-App
pip install -r requirements.txt
python app.py
Open in your browser at π http://127.0.0.1:5000/
π Deployment
Hosted on Render.
Live Demo: https://heartcare-ai-web-app.onrender.com/
π¨βπ» Author
Vasanthkumar S V K
GitHub: svk-vasanthkumar