Stethoscope audio captures complex acoustic frequencies. By converting raw wave signals into spectrograms and extracting spectral features, machine learning models can detect subtle rhythmic variations and acoustic anomalies.

This prototype research highlights how lightweight signal processing algorithms combined with Python audio pipelines can power assistive diagnostic tools.