The AI-Powered Health Assistant is a modern AI application that leverages Google’s Generative AI (Gemini) models, specifically gemini-2.5-flash-lite, to provide medical assistance and interactive healthcare support. The system answers health-related queries, provides medical insights, and facilitates services such as appointment scheduling in a user-friendly interface.
The project is built with Streamlit, providing an intuitive Chatbot interface. The assistant uses Gemini-2.5-Flash-Lite through the Google Generative AI API to process natural language queries, analyze symptoms, and generate context-aware medical responses. The system also recognizes keywords like “appointment” to guide users through appointment-related functionalities.
Key results show that the Chatbot delivers accurate, coherent, informative responses,and downlodable chat history with enhancing healthcare accessibility and engagement.
# Clone the repository:
git clone https://github.com/RohithReddyGK/AI-Health-Assistant.git
cd AI-Health-Assistant
# Install Dependencies:
pip install -r requirements.txtOnce the installation is complete, follow these steps to use the AI-Powered Health Assistant:
1️⃣ Start the Application Run the following command: streamlit run app.py
2️⃣ Interacting with the Chatbot Enter health-related questions (e.g., "What are the symptoms of diabetes?"). Ask about medical conditions, treatments, or general health tips. Use the keyword "appointment" to receive a pre-defined appointment message.
3️⃣ Expected Output The chatbot will generate context-aware responses using the the "gemini-2.5-flash-lite" model. If an "appointment" query is detected, it will just print the pre-defined message.
4️⃣ Example Query: 💬 User: "What are the symptoms of flu?" 🤖 Chatbot: "Common flu symptoms include fever, cough, sore throat, muscle aches, fatigue, and headaches..."
The AI-Powered Health Assistant demonstrates the potential of AI-driven healthcare solutions and its scalability, thereby bridging the gap between medical expertise and users seeking reliable health information.
👤 Rohith Reddy.G.K
Github: @RohithReddyGK
LinkedIn: @rohithreddygk
Give a ⭐️ if you like this project!