1. Xamarin + AI

2. Agenda
1. Xamarin overview
2. AI for mobile platform
3. Cognitive Services overview
4. Demo

3. Anything you can do in Objective-C, Swift,
Java or Kotlin can be done in C# and Visual
Studio with Xamarin.

4. Native Performance

5. Always up-to-date
Same day support for new versions
Support for Apple Watch, KindleFire, Android Wear etc

6. Xamarin vs * iOS/Android vs Hybrid

7. Xamarin.Forms
Native UI for each platform
Platforms: iOS, Android, UWP, WPF, MacOS, Tizen, GTK#

8. Xamarin + Xamarin.Forms
Traditional Xamarin Approach With Xamarin.Forms:
More code-sharing, all native
iOS C# UI Windows C# UIAndroid C# UI
Shared C# Backend
Shared UI Code
Shared C# Backend

9. Why you should use Xamarin
• You are C# developer
• Reuse existing code
• Cross-platform
• Continue in Microsoft ecosystem

10. Why you should use Xamarin.Forms
• Fast POC
• Minimize costs for development for multiple
platforms:
 common interactions across device platforms
 code sharing is more important than custom UI
 little platform-specific features
• You are focusing on LOB apps
• You are not writing games
• You would like to partially reuse code from
WPF/UWP

11. AI for mobile platform
1. Consuming AI: Cognitive Services, ML Kit for
Firebase
2. AI on devices
• ONNX: open neural network exchange format
Cross-platform: Caffe2, TensorFlow, Core ML
• iOS: Core ML
• Android: TensorFlow

12. Microsoft AI

13. Pre-built RESTful APIs
Azure Cognitive Services
1. Search
2. Speech
3. Language
4. Knowledge
5. Vision

14. ONNX
Open neural network exchange format
Platforms: Caffe2, TensorFlow, Core ML etc
Create model and use on multiple platforms – no
vendor lock

15. iOS: Core ML
• Domains: Vision, NLP
• Built on Accelerate and
Metal
• Public model format
• Conversion tools

16. Android: TensorFlow
• Supports Android/iOS/Raspberry PI
• Lite version for mobile

17. Android: ML Kit for Firebase
• Supports: iOS/ Android
• Integrates with Google
Cloud Services
• Text recognition
• Face detection
• Barcode scanning
• Image labeling
• Landmark recognition

18. Demo

19. Links
• https://customvision.ai
• https://docs.microsoft.com/en-us/azure/cognitive-
services/custom-vision-service/home
• https://github.com/jimbobbennett/Xam.Plugins.OnDeviceC
ustomVision
• https://blogs.technet.microsoft.com/machinelearning/2018
/04/03/intelligent-edge-building-a-skin-cancer-prediction-
app-with-azure-machine-learning-coreml-xamarin/
• https://github.com/Microsoft/Mobile-Chest-X-Ray-Analysis

20. Q&A
mykhail.galushko@devrain.com