Book Image

Xamarin.Forms Projects - Second Edition

By : Daniel Hindrikes, Johan Karlsson
Book Image

Xamarin.Forms Projects - Second Edition

By: Daniel Hindrikes, Johan Karlsson

Overview of this book

Xamarin.Forms is a lightweight cross-platform development toolkit for building apps with a rich user interface. Improved and updated to cover the latest features of Xamarin.Forms, this second edition covers CollectionView and Shell, along with interesting concepts such as augmented reality (AR) and machine learning. Starting with an introduction to Xamarin and how it works, this book shares tips for choosing the type of development environment you should strive for when planning cross-platform mobile apps. You’ll build your first Xamarin.Forms app and learn how to use Shell to implement the app architecture. The book gradually increases the level of complexity of the projects, guiding you through creating apps ranging from a location tracker and weather map to an AR game and face recognition. As you advance, the book will take you through modern mobile development frameworks such as SQLite, .NET Core Mono, ARKit, and ARCore. You’ll be able to customize your apps for both Android and iOS platforms to achieve native-like performance and speed. The book is filled with engaging examples, so you can grasp essential concepts by writing code instead of reading through endless theory. By the end of this book, you’ll be ready to develop your own native apps with Xamarin.Forms and its associated technologies, such as .NET Core, Visual Studio 2019, and C#.
Table of Contents (13 chapters)


In this chapter, we built an app that can recognize whether or not a photo contains a hot dog. We accomplished this by training a machine learning model for image classification using Azure Cognitive Services and the Custom Vision service.

We exported models for Core ML and TensorFlow, and we learned how to use them in apps for both iOS and Android. In these apps, a user can take a photo or pick a photo from their photo library. This photo will be sent to the model to be classified, and we will get a result that tells us whether or not the photo is of a hot dog.

Now, we can continue to build other apps and use what we have learned in this chapter regarding machine learning, both on-device and in the cloud using Azure Cognitive Services. Even if we are building other apps, the concept will be the same.

Now, we have completed all chapters in this book. We have learned the following:

  • What Xamarin is and how we can get started building apps
  • How to use the basic layouts and controls...