AI Health Assistant

Inspiration

We wanted to make healthcare easier and faster for everyone.

• Many people struggle to understand their symptoms.
• Finding the right doctor is often confusing.
• We decided to create an AI assistant to help.

What it does

• Analyzes your symptoms carefully.
• Suggests possible health conditions.
• Guides you to nearby doctors or clinics.
• Gives personalized health tips and medicine reminders.

How we built it

• Frontend: Streamlit web app for user interaction.
• AI/ML: Gemini models to analyze symptoms.
• Python: Core logic.
• Other tools: APIs for maps, doctor info, and notifications.

Challenges we ran into

• Understanding vague or unclear user input.
• Ensuring AI gives accurate and safe suggestions.
• Integrating multiple APIs smoothly (maps, clinics, reminders).

Accomplishments that we're proud of

• Successfully built a working AI assistant prototype.
• Can analyze symptoms and suggest conditions in real-time.
• Integrated doctor/clinic finder and health tips into one app.

What we learned

• How to combine AI with real-world healthcare data.
• Importance of user-friendly interfaces in health apps.
• Challenges of handling sensitive health information responsibly.

What's next for AI Health Assistant

• Add support for multiple languages.
• Integrate wearable devices for real-time health tracking.
• Make recommendations more personalized with user history.

Built With

• gemini
• langchain
• openstreetmap
• python
• streamlit
• streamlit-cloud