Your Health Data, Your GPU: Local 7B LLM Inference with WebLLM & Google Health Connect 🛡️💻

In an era where privacy is a luxury, sending your sensitive medical records and activity logs to a cloud-based AI feels like a massive gamble. But what if you could harness the power of a 7B parameter model directly in your browser? Today, we're diving into the bleeding edge of Local LLM inference and Private AI . By leveraging WebLLM and the high-performance WebGPU API, we will build a health dashboard that analyzes Google Health Connect logs entirely on the client side. No data leaves the device. No API keys are leaked to third-party servers. Just pure, hardware-accelerated privacy. Why Local Inference? 🥑 When dealing with Google Health Connect API data—which includes everything from heart rate variability to sleep cycles—traditional cloud LLMs pose a significant privacy risk. By using a WebLLM tutorial approach, we utilize the user's local GPU to perform Private AI reasoning. This ensures 100% data sovereignty while maintaining the "smart" features users expect. The Architecture: Lo