Artificial Intelligence-Based Vociferation Chatbot for Emergency Health Assistant

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Authors

Balakrishnan S¹

1. Aarupadai Veedu Institute of Technology (AVIT)

Conference / event

1ST INTERNATIONAL CONFERENCE ON EMMA-2021 24–26 December 2021 Chennai, India, December 2021 (Chennai, India)

Poster summary

It has brought up to clarity that Artificial Intelligence has become very vast in every tech place. The human interface as telecommunication becomes effortless with AI technology. The AI pays the hands for the growth of many challenging ideas like automation, and brain-computer interfaces. As machine learning becomes the subset of artificial intelligence the training part is made unchallenging for computer application. We made this a great tool for our project with the links of Application Programming Interface along with vociferation technology in a personalized chatbot. We made this to bring out a supportive application for medical areas. To make the emergency to be tranquil, we ensure that our programs embedded in the chatbot will be effective for the user with vociferation technology.

Keywords

Chatbot, Artficial intelligence, Health assistant

Research areas

Computer and Information Science

References

1. S. M. Bhagavathi, A. Thavasimuthu, A. Murugesan, R. C. P. Latha, A. Vijay, R. Laxmi, and R. Thavasimuthu, “Weather forecasting and prediction using hybrid C5.0 machine learning algorithm,” International Journal of Communication Systems 34, 4805 (2021).

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

Creative Commons license

Copyright © 2024 S. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.