Prototype
ResoNet
On-device respiratory screening from cough audio
A privacy-preserving respiratory-disease screening app that runs entirely on-device. Audio preprocessing and a ResNet model were reimplemented in pure Dart with ONNX Runtime, cutting the app footprint from 600 MB+ to roughly 70 MB with no loss in accuracy.
Key features
What ResoNet does
Fully on-device inference
Pure-Dart audio preprocessing
~70 MB footprint, down from 600 MB+
Works offline for privacy
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