Book Image

Building Bots with Microsoft Bot Framework

By : Kishore Gaddam
Book Image

Building Bots with Microsoft Bot Framework

By: Kishore Gaddam

Overview of this book

Bots help users to use the language as a UI and interact with the applications from any platform. This book teaches you how to develop real-world bots using Microsoft Bot Framework. The book starts with setting up the Microsoft Bot Framework development environment and emulator, and moves on to building the first bot using Connector and Builder SDK. Explore how to register, connect, test, and publish your bot to the Slack, Skype, and Facebook Messenger platforms. Throughout this book, you will build different types of bots from simple to complex, such as a weather bot, a natural speech and intent processing bot, an Interactive Voice Response (IVR) bot for a bank, a facial expression recognition bot, and more from scratch. These bots were designed and developed to teach you concepts such as text detection, implementing LUIS dialogs, Cortana Intelligence Services, third-party authentication, Rich Text format, Bot State Service, and microServices so you can practice working with the standard development tools such as Visual Studio, Bot Emulator, and Azure.
Table of Contents (10 chapters)

Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI

In previous chapters, we have gone through the concepts of Bot Framework and Cognitive Services, such as LUIS, the linguistic service, and so on that are involved in developing and publishing bot applications. In this chapter, we will mainly focus on integrating IoT, the bot, and Power BI and see how can we leverage the power of bots and Cognitive Services in IoT. Here, we will develop an IoT application that will capture photos from a USB camera connected to the Raspberry Pi, then process it using the Face API and Emotion API of Cognitive Services to identify facial expressions. Once it completes the processing and identifies the face and emotional expression, the IoT application then sends it to the Facial Expression and Identification bot and also to Power BI to show reports.

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