Ever wondered why you wake up feeling like a zombie despite "sleeping" for eight hours? Obstructive Sleep Apnea (OSA) is an invisible killer, a condition where your breathing repeatedly stops and starts during sleep. While professional sleep studies (polysomnography) are expensive and invasive, we can leverage Edge AI , Whisper.cpp , and the power of the Raspberry Pi to build a high-performance, privacy-first monitoring prototype. In this tutorial, we will dive deep into real-time audio processing and on-device machine learning . By the end of this post, you'll have a functional pipeline that captures audio, identifies breathing patterns, and generates structured sleep reports—all without your data ever leaving your bedroom. The Architecture: From Sound Waves to Structured Data Building for the edge requires a lean stack. We can't just throw a 40GB LLM at a Raspberry Pi and hope for the best. We need to optimize for latency and power consumption.…