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🩺 HeartCare AI – Disease Prediction Web App

A simple machine learning + Flask web application that predicts heart disease based on user medical details.

πŸš€ Features

  • 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

🧠 Tech Stack

  • Backend: Python, Flask
  • Frontend: HTML, CSS, Bootstrap, JavaScript
  • Machine Learning: scikit-learn, pandas, numpy
  • Model: Logistic Regression

βš™οΈ How to Run Locally

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 πŸ‘‰ http://127.0.0.1:5000/

🌍 Deployment
Hosted on Render.
Live Demo: https://heartcare-ai-web-app.onrender.com/

πŸ‘¨β€πŸ’» Author
Vasanthkumar S V K
GitHub: svk-vasanthkumar

About

Predict heart disease risk with our easy-to-use web app! πŸ’–πŸ©Ί Just enter your age, cholesterol, and blood pressure details. It's built with Flask and ML tech. πŸ’»βœ¨

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