Conclusion

In this lesson, you learned how to export a trained custom model from Create ML and seamlessly integrate it into an iOS app using SwiftUI. This included configuring your project, handling classification results, and optimizing your app for real-time performance. By applying these techniques, you’ve successfully created a functional emotion-detection app, demonstrating the practical application of machine learning in iOS development.

You can expand your knowledge by exploring other types of classifiers supported by Core ML, such as text and sound classifiers. You can find more information in the Apple Core ML Documentation to discover how to leverage different models for various applications.