Hotdog

A Silicon Valley-inspired app that uses your iPhone camera to detect whether you're looking at a hot dog.

Built with Expo SDK 56, expo-camera, and on-device image classification. No server required.

How it works

The camera shows a live preview.
Tap the shutter to capture a frame.
iOS uses the native vision classifier first, then falls back to MobileNet if needed.
MobileNet checks ImageNet labels on-device and applies a confidence/margin threshold.
The app shows Hot dog or Not hot dog, saves the scan to a local gallery, and can export a shareable image.

Run on iOS

npm install
npx expo run:ios --device

Or start the dev server and scan the QR code with Expo Go on a physical iPhone (camera + ML require a real device):

npm start

Note: Use a physical iOS device. The simulator has no camera, and ML inference works best on hardware.

Permissions

The app requests camera access on first launch. Photo permissions are used for importing images and saving share cards. iOS permission text is configured in app.json.

Release

This project uses local Xcode/App Store Connect tooling rather than EAS. See docs/release-ios.md.

Tech stack

Expo SDK 56
expo-camera
expo-image-picker + expo-media-library
expo-blur + expo-glass-effect
@tensorflow/tfjs + @tensorflow/tfjs-react-native
@tensorflow-models/mobilenet (ImageNet)
@dariyd/react-native-image-description
react-native-fs (required peer of tfjs-react-native)

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