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edge-impulse

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Edge AI power grid monitor for Mexican residential infrastructure. 3 models (voltage anomaly, energy demand, thermal risk) running on Arduino UNO Q dual-processor (STM32U585 + Qualcomm QRB2210). Real-time relay actuation, WhatsApp alerts, and web dashboard. Built for Qualcomm Sustainable Power Cities @ Talent Land 2026.

  • Updated Apr 13, 2026
  • Python

AIoT motion‑state detection pipeline: a simulated ESP32 + MPU6050 sensor (Velxio) streams accelerometer data over MQTT to Node‑RED, a TinyML model trained in Edge Impulse classifies Idle/Move/Shake on the edge, and predictions plus Shake alarms are visualized live on a ThingsBoard dashboard.

  • Updated Aug 24, 2026
  • HTML

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