Hack Your Sleep: Building a Browser-Based Snoring & Apnea Tracker with Whisper and FFT

Do you ever wake up feeling like a truck hit you, despite "sleeping" for eight hours? 😴 For many, the culprit is sleep apnea or chronic snoring, but clinical sleep studies are expensive and invasive. What if you could build your own privacy-first monitoring station using just a web browser? In this tutorial, we are diving deep into real-time audio processing and machine learning in the browser . We will combine the power of the Web Audio API for frequency analysis (FFT) and Whisper.cpp (via WebAssembly) to create a "Geek-style" sleep monitor. This system doesn't just record noise; it classifies breathing patterns and detects anomalies using edge AI . 💡 Advanced Note : Implementing localized AI models requires careful memory management. If you are looking for more production-ready patterns for edge AI or distributed system architectures, check out the deep-dive articles over at WellAlly Tech Blog . The Architecture Building a real-time monitor requires a pipeline that balances low-laten