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Chatbot on COVID-19 for Sustaining Good Health During the Pandemic

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Latest Trends in Renewable Energy Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 760))

Abstract

This paper throws light on the JAVA-based platform whereby the user converses with the machine based on artificial intelligence. The machine behaves so smartly that the user is unable to detect his/her conversations with the machine and feels to be communicating with human itself. The paper also reflects the evolution of chatbot from ELIZA to WOEBOT and emphasizes the essential attributes that any chatbot should possess. This chatbot tackles the queries related to the current pandemic COVID-19. This chatbot is developed such that it is user friendly and is aesthetically appealing to the user.

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Author information

Authors and Affiliations

  1. Amity University, Noida, 201301, Uttar Pradesh, India

    Ananya Vadhera, Ashutosh Thute, Shuchi Mala & Achyut Shankar

Authors
  1. Ananya Vadhera
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  2. Ashutosh Thute
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  3. Shuchi Mala
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  4. Achyut Shankar
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Editor information

Editors and Affiliations

  1. School of Renewable Energy and Efficiency, National Institute of Technology, Haryana, India

    Shelly Vadhera

  2. Department of Electrical and Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India

    Bhimrao S. Umre

  3. College of Engineering and Science, Victoria University, Melbourne, VIC, Australia

    Akhtar Kalam

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Vadhera, A., Thute, A., Mala, S., Shankar, A. (2021). Chatbot on COVID-19 for Sustaining Good Health During the Pandemic. In: Vadhera, S., Umre, B.S., Kalam, A. (eds) Latest Trends in Renewable Energy Technologies. Lecture Notes in Electrical Engineering, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-16-1186-5_23

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  • DOI: https://doi.org/10.1007/978-981-16-1186-5_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1185-8

  • Online ISBN: 978-981-16-1186-5

  • eBook Packages: EnergyEnergy (R0)

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