Browser-Based AI Tool Detects Snoring and Sleep Apnea Without Sending Data to Cloud

A developer has built a sleep monitoring system that runs entirely within the browser, requiring no external servers or lab equipment. The tool uses the Web Audio API to capture microphone input, then filters out human speech using a WebAssembly port of OpenAI's Whisper model to protect user privacy. Audio that passes the speech filter is converted into Mel Spectrograms and analyzed by a TensorFlow.js convolutional neural network trained to identify snoring and abnormal breathing patterns. All processing happens locally on the user's device, meaning no audio data ever leaves the browser. The project draws on edge computing and digital signal processing techniques, positioning itself as a privacy-first alternative to traditional sleep apnea diagnostic methods.