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[ARTICLE · art-107567] src=dev.to ↗ pub= topic=machine-learning verified=true sentiment=↑ positive

Brilliant work by Bhagya Prasad on DEV: a 100% offline, headless TFLite crash detection engine for Flutter. Zero latency, purely on-device Edge AI using raw sensor telemetry in RAM!!

Bhagya Prasad Dannina built a pure Dart, 100% offline TFLite crash detection engine for Flutter, using on-device Edge AI with raw sensor telemetry in RAM. The system achieves zero latency and operates without network connectivity, addressing the failure of SOS apps in dead zones.

read1 min views1 publishedAug 23, 2026

I was tired of SOS apps failing in dead zones, so I built a pure Dart, 100% offline TFLite crash detection engine. Bhagya Prasad Dannina Bhagya Prasad Dannina Bhagya Prasad Dannina Follow Jun 28 I was tired of SOS apps failing in dead zones, so I built a pure Dart, 100% offline TFLite crash detection engine.

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opensource 16 reactions 3 comments 1 min read

source & further reading
dev.to — original article Rate Limits Cost Me a Whole Night of Work — Here's the 46-Line Script That Fixed It How I recorded my first product demo in 54 seconds (OBS, ffmpeg, openai.fm) A local-first memory daemon for AI agents: SQLite + ONNX, zero API calls
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