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★★★★★ 5.0
Artificial Intelligence-Based Vociferation Chatbot for Emergency Health Assistant
发表日期 May 20, 2024 (DOI: https://doi.org/10.54985/peeref.2405p6690856)
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作者
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Balakrishnan S1
- Aarupadai Veedu Institute of Technology (AVIT)
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会议/活动
- 1ST INTERNATIONAL CONFERENCE ON EMMA-2021 24–26 December 2021 Chennai, India, December 2021 (Chennai, India)
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海报摘要
- 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.
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关键词
- Chatbot, Artficial intelligence, Health assistant
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研究领域
- Computer and Information Science
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参考文献
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- 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).
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基金
- 暂无数据
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补充材料
- 暂无数据
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附加信息
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- 利益冲突
- No competing interests were disclosed.
- 数据可用性声明
- Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.
- 知识共享许可协议
- 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.
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引用
S, B. Artificial Intelligence-Based Vociferation Chatbot for Emergency Health Assistant [not peer reviewed]. Peeref 2024 (poster).
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