Is it just a loud snore, or is it a silent killer? Sleep Apnea affects millions worldwide, yet many remain undiagnosed. While medical-grade polysomnography is the gold standard, we can leverage modern Deep Learning and Digital Signal Processing (DSP) to build a sophisticated screening tool right from our smartphones. In this guide, we’ll dive deep into Sleep Apnea detection using a hybrid approach: Faster-Whisper for temporal segmentation and Discrete Fourier Transform (DFT) for frequency-domain characterization. We are building a pipeline that moves from raw audio pixels to clinical-grade insights. Keywords: Sleep Apnea detection, Faster-Whisper tutorial, Audio signal processing, Discrete Fourier Transform (DFT), PyTorch audio analysis, health tech AI. Pro Tip: If you're looking for more production-ready patterns and advanced AI architecture for health-tech, check out the deep dives over at WellAlly Blog . It’s been a massive source of inspiration for my "Learning in Public" journey!…