🧠 AI Health Risk Predictor

A machine learning-powered web application that predicts the risk of heart disease and muscle weakness based on user input. Built with Flask, python, and deployed on Render.

• ❤️ Heart Disease Risk
• 💪 Muscle Weakness Risk

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🚀 Features

• 🔍 Predicts health risks based on user input
• 📊 Saves prediction history to CSV
• 🧾 View history by category (Heart or Muscle)
• 🗑️ Clear history with one click
• 🎨 Clean, responsive UI with animations

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🛠️ Tech Stack

Layer	Tools Used
Frontend	HTML, CSS, Jinja2
Backend	Flask, Python
ML Models	RandomForest, DecisionTree
Data Storage	CSV (history.csv)

🌐 Live Demo

👉 Click here to try the app |

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📂 Project Structure

project/ │ ├── app.py # Main Flask app ├── history.csv # Stores prediction logs ├── templates/ │ ├── base.html │ ├── home.html │ ├── result.html │ ├── history.html │ └── health_tips.html ├── static/ │ └── style.css ├── models/ │ ├── heart_model.pkl │ └── muscle_model.pkl └── README.md

📌 Future Improvements

• Add login/authentication
• Export history to Excel or PDF
• Dynamic health tips based on prediction
• Deploy to Render or Vercel

🙌 Author Built with ❤️ by [Goodness]

health-risk-predictor- how to use it

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🚀 How to Use the App

1. Visit the Live Demo
2. Choose a prediction type:
   • Heart Disease
   • Muscle Weakness
3. Fill in the form with your health data
4. Click Predict
5. View your result instantly
6. Navigate to History to:
   • View past predictions
   • Download them as a CSV
   • Clear the history if needed

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🖼️ Visual Walkthrough

To visualize what the app does:

• Go to the homepage
• Submit a prediction form
• Watch the result appear on screen
• Click on History to see all past predictions
• Use the Download button to export them

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🛠️ How to Run Locally

1. Clone the Repository

git clone https://github.com/GoodnessOni/health-risk-predictor.git
cd health-risk-predictor