Book Image

Mastering Firebase for Android Development

By : Ashok Kumar S
Book Image

Mastering Firebase for Android Development

By: Ashok Kumar S

Overview of this book

Firebase offers a wide spectrum of tools and services to help you develop high-quality apps in a short period of time. It also allows you to build web and mobile apps quickly without managing the infrastructure.Mastering Firebase for Android Development takes you through the complete toolchain of Firebase,including the latest tools announced in Google IO 2018 such as Firebase ML-Kit, FireStore, and Firebase Predictions. The book begins by teaching you to configure your development environment with Firebase and set up a different structure for a Firebase real-time database. As you make your way through the chapters, you’ll establish the authentication feature in Android and explore email and phone authentication for managing the on-boarding of users. You’ll be taken through topics on Firebase crash reporting, Firebase functions, Firebase Cloud, Firebase Hosting, and Cloud Messaging for push notifications and explore other key areas in depth. In the concluding chapters, you will learn to use Firebase Test Lab to test your application before using Firebase Performance Monitoring to trace performance setbacks. By the end of the book, you will be well equipped with the Firebase ecosystem, which will help you find solutions to your common application development challenges.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Packt Upsell
Application Usage Measuring and Notification, Firebase Analytics, and Cloud Messaging
Bringing Everyone on the Same Page, Firebase Invites, and Firebase App Indexing
Making a Monetary Impact and Firebase AdMob and AdWords
Flexible NoSQL and Cloud Firestore
Analytics Data, Clairvoyant, Firebase Predictions


ML Kit offers two distinct services. One is for processing images and retrieving the results or any information on the image. The second service is using custom models such as TensorFlow to process the data for the results. 

In ML Kit Vision, we have essential, ready-to-use models, which are listed as follows:

  • Recognizing text
  • Detecting faces
  • Scanning barcodes
  • Labeling images 
  • Recognizing landmarks

Let's explore what it is like to recognize text using ML-Kit.

Recognizing text

ML Kit offers powerful text recognition APIs. It can recognize any Latin-based language on an on-device basis, perhaps more when connected to a cloud. Text recognition can automate numerous data works. Using cloud-based APIs, we can extract text from different documents. Identifying the train schedule by PNR number on the ticket, we can write a model to set a reminder immediately or two hours before train departure, and in many more use cases. 

Since recognizing text offers on-device and cloud-based features, it has a...