Listen, It's About to Fail — Catch a Dying Motor Days Early

You'll walk away with: A predictive-maintenance listener that Claude Code built — a Raspberry Pi reading vibration and airborne sound from a running motor or pump, running an FFT and an autoencoder that learned the machine's own "healthy" spectrum, so it flags a rising anomaly score days before a bearing or coupling actually fails — streamed to a Grafana spectral heatmap, alerting a human (never auto-stopping the machine) when the machine starts to sound wrong.

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