Asistente inteligente para consultas académicas y administrativas de la Facultad de Informática de la UAS.
Palabras clave:
Inteligencia Artificial, Procesamiento de Lenguaje Natural, Chatbot, Asistente Virtual, Modelos de Lenguaje, RAGResumen
El presente trabajo propone el diseño e implementación de un asistente académico inteligente orientado a la atención de consultas académicas y administrativas en la Facultad de Informática de la Universidad Autónoma de Sinaloa (UAS). Ante el incremento en la demanda de información y la saturación de los canales tradicionales, se plantea una solución basada en inteligencia artificial para automatizar y optimizar la gestión del conocimiento institucional. La investigación adopta un enfoque mixto: cuantitativo, mediante el análisis de la frecuencia y tipo de consultas; y cualitativo, evaluando la experiencia de usuario. El sistema se fundamenta en técnicas de Procesamiento de Lenguaje Natural, modelos de lenguaje de gran escala y estrategias de recuperación aumentada por generación (RAG), permitiendo generar respuestas precisas basadas en información institucional validada.
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Los datos utilizados en este estudio (documentos institucionales) no son de acceso público. Los resultados y configuraciones del sistema pueden ser proporcionados por los autores bajo solicitud razonable.
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Derechos de autor 2026 International Journal of Information Science and Technological Applications-UAS IJISTA
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
