Google's MLKit allows developers to easily integrate machine learning into their apps, with features like image labelling, face detection, and barcode scanning. The platform provides a simple API for common ML use cases, allowing developers to create custom models and run them on-device or in the cloud. A tutorial demonstrates how to build an app that uses MLKit's image classification feature to detect specific entities in an image, including strawberries. The tutorial covers both local (on-device) and cloud-based models, with the latter providing more accurate results but requiring a paid Firebase plan. The code for this tutorial is available on GitHub, along with information on how to get started with MLKit and other resources for learning about machine learning.