Full Stack⚡ In ProgressApril 2026
Industrial AI Copilot for Equipment Monitoring
A production-grade equipment monitoring platform that tracks four live sensor streams — temperature, pressure, vibration, and flow rate — and detects anomalies with sub-second latency. What makes this more than a detection demo is the full incident lifecycle that follows: an audio alert fires via Web Audio API, an automated work order is generated, and a technician notification email is dispatched via Resend — all without manual intervention. To validate the system before deployment, an anomaly injection simulator was built to stress-test edge cases and failure modes. The entire platform is deployed on Vercel with live SWR data fetching.
Tech Stack
Next.jsReactTypeScriptPythonSWRWeb Audio APIResendVercel
Key Highlights
- Sub-second anomaly detection alerting across 4 sensor types (temperature, pressure, vibration, flow rate)
- Full incident lifecycle: audio alerts → automated work orders → technician email via Resend
- Anomaly injection simulator for edge-case testing and failure mode validation
- Deployed on Vercel with real-time SWR data fetching and live dashboard