Designed and shipped a production-grade AI health coaching app — pulling real biometric data, generating personalised coaching via LLM, and deploying it as a mobile PWA.
Most health apps show you charts. SGHG tells you what to do about them — with specific, data-driven recommendations generated fresh each morning.
The entire backend runs on Google Apps Script — a serverless environment that triggers on a schedule, pulls from the Google Health API, and writes to a Google Sheet acting as the database.
The AI layer calls Groq's inference API with Llama 3.3 70B — fast enough for real-time chat responses with a sub-2 second latency on most queries.
The frontend is a single HTML file deployed to Cloudflare Pages, calling the Apps Script endpoint via GET requests. No Node.js, no build step, no CI/CD pipeline to maintain.