Building Intelligent .NET MAUI Apps with ML.NET
Talk (60 min)
In this session, we’ll explore how to train Regression and Classification models using C# and ML.NET, and how to run those models in a .NET MAUI app, enabling offline AI analysis directly on a mobile device. We’ll also look at how to create an image classification model using Azure Custom Vision, and use it offline in our .NET MAUI app with the power of ONNX.
After this session, you’ll have a basic understanding of what Regression and Classification problems are, how to train and evaluate models with ML.NET and Azure Custom Vision and how to use these models locally in a .NET MAUI app.
Pieter Nijs
Pieter Nijs is .NET Consultant at Xebia Microsoft Services where he helps customers with 'everything mobile and cloud'.
He has a keen interest in mobile and cloud development and has played a key role in numerous projects, ranging from expansive customer facing healthcare, telecom and media applications to smaller LOB applications.
Currently, Pieter is diving into the fascinating realms of artificial intelligence, exploring how these cutting-edge technologies can bring added value to customer projects and solve complex problems in innovative ways.
Pieter is passionate about constantly exploring and experimenting with new and innovative technologies both at work and in his spare time, which he eagerly shares with others. He is a seasoned speaker at conferences, trainer, and blogger at blog.pieeatingninjas.be. He has been awarded the Microsoft MVP Award since 2017, reflecting his unwavering passion and expertise in serving the community. His first book, 'The MVVM Pattern in .NET MAUI' (published by Packt Publishing), was recently released and has been very well received.