Intelligent assistant for academic and administrative inquiries of the Faculty of Informatics at UAS.
Keywords:
Artificial Intelligence, Natural Language Processing, Chatbot, Virtual Assistant, Language Models, RAGAbstract
This research proposes the design and implementation of an intelligent academic assistant aimed at addressing academic and administrative inquiries at the Faculty of Informatics of the Autonomous University of Sinaloa (UAS). Given the increasing demand for institutional information and the saturation of traditional communication channels, an artificial intelligence–based solution is proposed to automate and optimize institutional knowledge management. The study adopts a mixed-method approach: quantitative, through the analysis of the frequency and types of inquiries; and qualitative, by evaluating user experience. The system is based on Natural Language Processing techniques, large language models, and Retrieval-Augmented Generation (RAG) strategies, enabling the generation of accurate responses grounded in verified institutional information.
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Data Availability Statement
The data used in this study (institutional documents) are not publicly available. System configurations and results may be provided by the authors upon reasonable request.
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