Apple Health Data Analysis with AI: Our Hackathon Story

Apple Health tracks numerous fitness metrics, but interpreting them effectively can be challenging. The author found their VO2 max was below average and sought deeper insights beyond basic metrics. Their hackathon project aimed to simplify Apple Health data analysis by addressing setup complexity and manual data exports. The new system uses HealthKit for continuous data syncing, a FastAPI backend for real-time processing, and an MCP Server for LLM integration. This allows users to ask natural language questions about their data and receive AI-powered feedback. Weekly AI coaching summaries are delivered via n8n automation. The project demonstrates how structured data and language models can provide useful fitness insights. While an MVP, it offers a foundation for a more comprehensive solution. Future plans include support for more wearables, local AI models, and custom reports. The project is being expanded as an open-source platform for healthtech and AI enthusiasts.