UTAS Chatbot

Authors

  • Dhiya AlSaqri Information Technology Department, University of Technology and Applied Sciences, Suhar-Sultanate of Oman
  • Sumaya AlMuqbali Information Technology Department, University of Technology and Applied Sciences, Suhar-Sultanate of Oman
  • Sarah AlMamari Information Technology Department, University of Technology and Applied Sciences, Suhar-Sultanate of Oman

DOI:

https://doi.org/10.54938/ijemdcsai.2024.03.1.275

Keywords:

Chatbot, Computer Science, Modern Technologies, Artificial Intelligence

Abstract

AI is the foundation of all computer learning and the way that complex decision- making will proceed in the future. The volume of data produced by machines and people combined today surpasses what humans can process, comprehend, and use to make sophisticated decisions. In cases where artificial intelligence is applied to chatbots, a chatbot is, in essence, a computer program that mimics and interprets spoken or written human conversation, enabling users to engage with digital devices in the same way they would with a real person. A chatbot can be as basic as a one-line program that responds to a simple question, or it can be as sophisticated as a digital assistant that learns and adapts over time as it gathers and analyzes data to provide ever-higher levels of personalization. Aartificial Intelligence Chatbots (are the latest development and are still progressing and evolving. The chatbot is specifically targeted the students at The University of Technology and Applied Sciences. This is a link created using artificial intelligence technology and contains information related to students, such as: Score inquiry, subject inquiry, teacher inquiry. For every subject, the technology can reduce congestion in admissions and registrar offices.

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Published

2024-09-24

How to Cite

AlSaqri, D., AlMuqbali, S. ., & AlMamari, S. . (2024). UTAS Chatbot. International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence, 3(1). https://doi.org/10.54938/ijemdcsai.2024.03.1.275

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Section

Research Article

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