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RELATED WORK
B. Rawat et al [11] carried out a detailed survey of recent deep learning techniques for chatbots. This has brought developers' understanding closer to good chatbot design.
J. J. Sophia and T. P. Jacob [12], in their article, demonstrate and present the design and development of Student Chatbot software integrated with a user website that manages student queries via defined intents. The article covers the chatbot system with the Recurrent Neural Network (RNN) to handle the language part, the Convolutional Neural Network (CNN) to handle the image part, Dialogflow, accurately illustrating the intention and entity representation and keyword matching techniques.
S. Ondáš, M. Pleva and D. Hládek [13], have developed three chatbots to support teaching at their university's Department of Electronics and Multimedia Telecommunications. The first is the KEMTbot, which is a robot located on the department's web page. It provides information from the Web and about the department's staff. The second chatbot is a bot that accompanies students during exercises in the subject "Databases". The last is an Amazon Alexa chatbot skill, which answers questions about the department on Amazon Echo devices.
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IEEE/ICACT20240393 Slide.06
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