Abstract
This research proposes the development of a natural language processing (NLP) chatbot to accurately and efficiently answer questions from graduates of the Universidad Nacional de Moquegua (UNAM) about their degree and title requirements. The objective is to address the complexity and volume of university regulations that make it difficult for students to find accurate information, generating frustration and delays in the degree process. The chatbot will be trained with a corpus of questions and answers extracted from the regulations, allowing it to understand and respond to queries in natural language in a timely and accurate manner. This chatbot is expected to improve user experience, optimize administrative resources and increase accessibility to information. Established performance standards include accuracy, relevance, clarity, and ease of use. The chatbot differs from other approaches by its specific focus on degree and title requirements, using a corpus of questions and answers extracted from the UNAM regulations to ensure the accuracy and relevance of the information provided. This chatbot is expected to become a valuable tool for students and administrative staff at the university.
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Apaza, H., Reynoso, A.I., Balcona, J.E., Maquera, S.M., Coaguila, M.E. (2024). Development of a Chatbot Prototype to Serve University Graduates in the Process of Obtaining Degrees and Professional Titles. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2024. Lecture Notes in Networks and Systems, vol 1068. Springer, Cham. https://doi.org/10.1007/978-3-031-66336-9_30
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