Offline AI on mobile with TensorFlow Lite
- flutter
- tflite
- computer-vision
The problem
Food freshness checks shouldn’t depend on unstable network connectivity — especially in markets and kitchens.
The approach
MeatScan 2025 bundles a TFLite model inside a Flutter app:
- Capture or pick an image from the camera roll
- Preprocess to the model’s input tensor shape
- Run inference on the CPU/GPU delegate
- Map class indices to freshness labels for pork, beef, and fish
Lessons learned
- Quantized models trade a small accuracy hit for major size and latency wins
- Always validate on real-world lighting — studio datasets lie
- Sentry + staged rollouts help catch device-specific crashes early
Try the app: Google Play · App Store