🩺 AI Personal Health Assistant

The AI Personal Health Assistant is a smart web application designed to provide friendly, personalized, and evidence-based health guidance. Users can chat with the AI assistant, track basic health information, analyze symptoms, receive wellness tips, and explore multiple health categories — all in one intuitive platform.

This project is built using Python (Flask) for the backend and integrates Google Gemini AI for generating intelligent responses. The frontend has been enhanced with attractive UI/UX for a more engaging experience.

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🌐 Live Demo

👉 Try the live app here:
https://c-users-shaik-arifa-onedrive-deskto.vercel.app/

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✨ Key Features

• 💬 AI Chat Assistant – interactive conversational support

• 🩻 Symptom Analysis – analyze symptoms and provide guidance

• 🍎 Health Categories

  • General Health
  • Nutrition and Diet
  • Fitness and Exercise
  • Mental Health
  • Chronic Conditions
  • Sleep Health
  • Emergency Guidance

• 👤 User Profile Support

  • Age, gender, height, weight
  • Allergies, conditions, medications

• 📝 Conversation History stored during session

• 🧠 Actionable Health Tips generated dynamically

• 🧹 Clear Chat Option

• 📱 Responsive & Beautiful UI

• ⚠️ Built-in Medical Disclaimer

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🛠 Tech Stack

• Frontend: HTML5, CSS3, JavaScript
• Backend: Python, Flask
• AI Model: Google Gemini
• API Integration: google-generativeai
• Styling: Custom CSS (responsive, modern UI)
• Session Handling: Flask session
• CORS: flask-cors

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🚀 Setup and Usage

1. Clone the repository:

   git clone <repository-url>
   cd Health-AI-project

2. Check Python Version:

   python --version

3. Install Required Python Packages:

   pip install flask flask-cors google-generativeai

4. Configure Google Gemini API Key: Get your Google Gemini API key from Google AI Studio. Open the app.py file in your project. Replace the API key line with your own key:

   genai.configure(api_key="YOUR_GEMINI_API_KEY")

5. Run the Flask Server:

   python app.py

6. Access the Application: Open your browser and go to http://127.0.0.1:5000/