RNMLKit provides Expo modules that allow developers to use MLKit native libraries in their Expo apps.

• Document Scanner
• Face Detection
• Image Labeling
• Object Detection

Note: MLKit is not supported in the iOS simulator. You will need to use a hardware device.

1. Create the native project folders

2. Open apps/InfiniteRedAI/ios/InfiniteRedAI.xcworkspace in XCode
3. Select the InfiniteRedAI target, and select a Team on the "Signing & Capabilities" tab
4. Select your target hardware device (MLKit is not supported in the simulator at this time)
5. Click the play button to build the app

Note: Android support is currently under active development, some modules may not function as intended

The monorepo is organized into the following sections:

• Apps -- holds the example app (InfiniteRedAI) that demonstrates how to use the modules.
• Modules -- holds the modules themselves. Each module is a separate npm package, and they are published to npm under the name @infinitered/[module name].
• Packages -- holds internal packages that are only used by the modules and are not published to npm. Things like the linter config.

For usage instructions see the readme in each module's directory.

• react-native-mlkit-core
• react-native-mlkit-face-detection

Use yarn build at the root level to compile typescript in all workspaces. You will need to do this when you make changes before other modules to be able to see the changes. (The packages have a main field that points to the compiled code.)

Running yarn build inside of an expo module workspace will start watch mode for files inside of that module.