Doctor AI
Full-stack AI health assistant — 23 guided analysis categories powered by Google Gemini. Users have a multi-turn conversation and receive personalised health insights. Client project.
Disclaimer: Doctor AI is an AI-powered health assistant for informational and educational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider with questions about a medical condition.
1The Problem
A client needed a production-ready AI health assistant that could guide users through personalised health analysis across multiple domains — nutrition, sleep, stress, exercise, hormones, gut health, and more — without requiring a human support team behind it.
2The Solution
Built a full-stack Django 5 application with a Google Gemini-powered AI service layer. Engineered 23 custom system prompts — one per health category — to drive targeted multi-turn conversations. Implemented dual user modes (guest in-memory sessions and authenticated persistent history), a REST API with CSRF protection, and a responsive vanilla JS/HTML/CSS frontend with Markdown rendering via Marked.js.
3The Result
Delivered a fully functional AI health assistant with 23 analysis domains, persistent conversation history for logged-in users, and a mobile-responsive UI. The AI model fallback chain (gemini-2.5-pro → gemini-pro → gemini-1.0-pro) ensures reliability. Production-ready with Gunicorn, environment variable config, and PostgreSQL-compatible data models.
Screenshots
Have a similar project?
I'm available for new projects — let's talk about what you need.