The classifier implements the classic recipe that founded music-genre classification: Tzanetakis & Cook (2002) timbral texture — means and variances of spectral centroid, 85% spectral rolloff, spectral flux and zero-crossing rate over 23 ms windows, plus the low-energy descriptor (the share of windows quieter than the mean) — extended with the two other GTZAN groups: rhythmic content (kick/snare/hi-hat onset densities, four-on-the-floor regularity from the beat grid, tempo via autocorrelation with half-time and double-time candidate testing) and pitch content (Krumhansl-Schmuckler key detection on a chroma profile). Seventeen genre profiles — house, techno, drum-and-bass, dubstep, hip-hop, trap, pop, rock, metal, punk, reggae, funk/disco, jazz, classical, folk, ambient, lo-fi hip-hop — score every feature against windows from published tempo guides (Ableton: house 115-130, techno 120-140, dnb 160-180 BPM; hip-hop 60-100 with half-time at 130-160). The report shows the winning genre, a top-3 ranking with confidences, and the concrete measurements behind each choice, plus a feature snapshot (BPM, key, brightness, bass share, dynamic swing) that doubles as DJ metadata. Honest expectation-setting: the original GTZAN classifier scored 61% on 10 classes; treat this heuristic scorer as a well-informed first opinion, not a label-machine.