Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Summary

In this chapter, we looked at some of the most common tools that are available for creating chatbots and then proceeded with an in-depth discussion of Dialogflow to understand the basic terminology that's used. We understood how the Dialogflow Console works so that we can create our own Dialogflow agent. We did this by creating an intent that's capable of extracting the user's name and adding it as an integration to Google Assistant so that it can respond with lucky numbers.

After deploying the webhook for Cloud Functions for Firebase and creating Actions on Google release, we created a conversational Flutter application. We learned how to create a conversation application interface and integrated the Dialogflow agent to facilitate ...