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An Interactive Smart Mirror Using Internet of Things and Machine Learning Read chapter Read first chapter

2022 | OriginalPaper | Chapter

English Master AMMU: Advanced Spoken English Chatbot

Authors : A. N. Gayathri, V. Viji Rajendran

Published in: IoT and Analytics for Sensor Networks

Publisher: Springer Singapore

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Abstract

Everyone needs to express their ideas, thoughts, and emotions. For a professional or a student, they have to express or communicate their thoughts effectively. To make communication effective, it is important to understand the English language. As English is an international language, all had to have fluent English-speaking skills. Making improvements in spoken English can be done in various ways. Talking to friends or family members in English, practicing phrases and sentences, etc. are some of them. But most people feel some awkwardness talking in front of a crowd or even with friends. Here comes the helper Assistant, Miss AMMU Teacher. Miss AMMU Teacher is the advanced version of AMMU spoken English chatbot. In this work, a chatbot called AMMU, Automatic Mega-agent Managed User guide is built for helping this purpose. AMMU will communicate with the user and will help to improve the spoken English capability of users.

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Metadata
Title
English Master AMMU: Advanced Spoken English Chatbot
Authors
A. N. Gayathri
V. Viji Rajendran
Copyright Year
2022
Publisher
Springer Singapore
Book
IoT and Analytics for Sensor Networks

Print ISBN: 978-981-16-2918-1

Electronic ISBN: 978-981-16-2919-8

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-2919-8_37