Developer Builds Offline Sleep Apnea Monitor Using Whisper-tiny and TCN on Raspberry Pi

A software developer has published a tutorial for building an edge AI sleep monitoring system called Sleep Guardian that runs entirely on a Raspberry Pi without an internet connection. The project combines OpenAI's Whisper-tiny audio encoder with a Temporal Convolutional Network to classify sleep sounds into three categories: normal, snoring, and apnea events. All audio processing happens locally using PyTorch and Docker, ensuring sensitive nighttime audio never leaves the device or reaches external servers. The system captures raw audio in real time, extracts features via Whisper's encoder, and triggers local alerts or HomeAssistant dashboard notifications when distress patterns are detected. The tutorial targets privacy-conscious users interested in edge computing and real-time audio classification using affordable hardware like the Raspberry Pi 4 or 5.