Well done! We have reached the final chapter and have learned about the latest tool introduced in Firebase. In this chapter, we have explored text recognition, face detection, and also barcode scanning. We have understood on-device and cloud-based models. We have also looked at creating TensorFlow Lite custom models.
Time led us here to explore ML Kit. We started by writing a real-time database and then we focused on understanding the file storage mechanism, push notifications, analytics and Test Lab, and so on.
By now, you should know which tool to use for the problem you are trying to solve using Firebase. This book has focused on all 18 tools. Each and every tool plays a major role in making your app better. It also addresses the famous categories in Firebase, which are development tools, stability tools, analytics tools, and growth tools.
If you have any...
