Book Image

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

By : Anubhav Singh, Rimjhim Bhadani
Book Image

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

By: Anubhav Singh, Rimjhim Bhadani

Overview of this book

Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android.
Table of Contents (13 chapters)

Integrating the Dialogflow agent

Now that we've created a very basic user interface for our application, we will integrate the Dialogflow agent with the application so that the text that's entered by the user is responded to in real time by the agent. Follow these steps:

  1. To integrate Dialogflow in the application, we will use the Flutter plugin called flutter_dialogflow.
To explore this plugin, please go to

Add the dependency to the plugin inside the pubspec.yaml file:

flutter_dialogflow: ^0.1.0
  1. Next, we need to install the dependency. This can be done either using the $ flutter pub get command-line argument or by clicking the option that appears on the screen. Here, we will use dialogflow_v2 so let's import the package inside our chat_screen.dart file:
import 'package...