Health Chatbot using Flask & Gemini AI

Overview

This is a simple Flask-based Health Chatbot that uses Google's Gemini AI to provide responses to health-related questions. The chatbot is designed to answer queries about various health topics such as diseases, symptoms, treatments, nutrition, and fitness.

Features

• Uses Gemini AI (Generative Model) for generating responses.
• Recognizes health-related questions using keyword filtering.
• Flask Web App for easy interaction.
• Supports JSON-based API for chatbot integration.

Tech Stack

• Python (Flask)
• Google Gemini AI (Generative Model API)
• HTML/CSS/JavaScript (for frontend)

Project Structure

/health-chatbot
│── app.py                 # Main Flask app
│── templates/
│   └── index.html         # Frontend UI
│── requirements.txt       # Python dependencies
│── README.md              # Project documentation

Getting Started

🔹 1. Clone the repository

git clone https://github.com/jeslipriya/AI-Health-Chatbot.git
cd AI-Health-Chatbot

🔹 2. Create a virtual environment (optional but recommended)

python -m venv venv
source venv/bin/activate  # On macOS/Linux
venv\Scripts\activate  # On Windows

🔹 3. Install dependencies

pip install -r requirements.txt

🔹 4. Set up API Key

Replace API_KEY in app.py with your actual Google Gemini API Key.

🔹 5. Run the Flask app

python app.py

Access the chatbot at http://127.0.0.1:5000/ in your browser.

API Endpoint

The chatbot also supports a POST request for API integration:

POST /ask
Request Body: { "question": "What are the symptoms of flu?" }
Response: { "answer": "Flu symptoms include fever, cough, sore throat..." }

Customization

• Modify HEALTH_KEYWORDS in app.py to improve keyword filtering.
• Edit index.html for a better UI experience.

Contributing

Pull requests are welcome! Feel free to suggest improvements.

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Let's build smarter health solutions together!