Build AI-Enabled Apps with .NET MAUI and Azure Cognitive Services
summary
A small .NET MAUI app connects to Azure Cognitive Services computer vision Read OCR to upload a captured image (MediaPicker), wait for the two‑step async operation, then parse and display extracted printed or handwritten text; images must be JPEG/PNG/BMP under 4 MB and at least 50×50 px. Code targets .NET 6, requires Visual Studio IDE, and the working demo and helper for storing endpoint/key live in the GitHub repo; also shows a face‑API emoji example.
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chapters (18)
- 0:00Introduction
- 1:59Azure Cognitive Services
- 5:08Cognitive Services categories
- 7:14Computer Vision API deep dive
- 10:30.NET MAUI framework
- 13:43Why .NET MAUI for cross-platform
- 14:03Demo app overview
- 16:53Azure Computer Vision setup
- 17:20Demo app code structure
- 18:25XAML for MAUI UI design
- 19:50API keys security
- 20:11MAUI Media Picker for images
- 21:35Text extraction with Computer Vision SDK
- 23:43Demo app testing
- 24:27Face API fun use case
- 25:09Q&A
- 28:17MAUI vs Progressive Web Apps
- 29:24OCR for Indian languages
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