Chatbots are now widely employed across various applications, especially in
systems designed to provide intelligent user support. The chatbots are capable of
understanding user requests and delivering appropriate responses promptly and
accurately. Traditional systems lack true comprehension and generate results based
solely on predefined rules, limiting their use to casual chatting and providing
information accessible on the internet. Such systems are inadequate for the specific
needs of a college intelligent inquiry system. This work introduces a chatbot system
within the educational domain, specifically designed to assist university students with
their inquiries. The primary objective is to develop a dedicated architecture, formulate
a communication management model, and ensure the delivery of accurate responses to
the students. To achieve this, a system is created leveraging Artificial Intelligence (AI)
techniques and Natural Language Processing (NLP) to recognize and address any type
of query. An experimental campaign is conducted on the implementation of the
proposed generative and retrieval-based models to evaluate their feasibility and
efficiency. This work explores various chatbot platforms, applications, and potential
implementations in college settings, aiming to create a user-friendly and efficient
inquiry system.
Keywords: Chatbot, Dialog flow, Generative chatbot, Natural language processing, Retrieval-based chatbot.
