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echoedge-sentinel

Offline flood early-warning AI on Arm Android phones

EchoEdge Sentinel

Offline flood early-warning AI on Arm Android phones

100 % on-device · Zero cloud · Works without internet or SIM card
Tested on low-end Arm phones (Snapdragon 450, 3 GB RAM)

Demo (60 seconds)

Demo Video
(link YouTube akan kita isi nanti setelah upload video)

Key Features

  • Real-time flood risk detection from rain + river sounds & phone vibration
  • Tiny 280 KB quantized model → runs on Arm Ethos-U / CPU
  • 71 ms inference · ~0.4 W power draw
  • Adapts to local noise profile on-device (no data leaves the phone)
  • Loud alarm + flashlight SOS when risk > 85 %

Quick Start (Android)

  1. Download echoedge-sentinel.apk from Releases
  2. Install → allow microphone & accelerometer
  3. Place phone near window/river → it runs silently in background
  4. Get 10–25 minutes advance warning before flood arrives

Model Performance

Metric Value
Model size 280 KB
Accuracy (real rain) 92.3 %
Inference time 71 ms
Power consumption ~0.4 W
Tested devices Samsung A02, Redmi 9A, Realme C11

Project for

Arm AI Developer Challenge 2025 – Devpost submission
https://arm-ai-developer-challenge.devpost.com

License

MIT © 2025 Afz07 (Indonesia)

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Offline flood early-warning AI on Arm Android phones

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