Tutorial: Build a Real-Time Sleep Monitor Using OpenAI Whisper and Silero VAD

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A developer tutorial published on DEV Community walks through building a real-time sleep analysis system using two open-source AI tools. The system uses Silero VAD as a lightweight audio gatekeeper to filter out silence and ambient noise, only passing significant sound events to OpenAI Whisper for classification. Whisper then analyzes buffered audio to identify patterns associated with normal breathing, snoring, or potential sleep apnea events. The pipeline streams audio from a browser or mobile client via WebRTC and outputs results to a time-series dashboard. The approach aims to offer a software-based alternative to wearable sleep trackers by capturing acoustic details that wrist-worn devices may miss.

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