INTELLIGENT CHATBOT

This research focuses on the design and implementation of an intelligent chatbot course adviser system for the Department of Computer Science at the University of Benin. The study addresses the limitations of traditional manual course advisor methods by leveraging artificial intelligence, machine learning, and natural language processing technologies to create an automated, efficient, and user-friendly academic guidance system. The research employed a mixed-method approach, combining qualitative and quantitative data collection techniques to ensure comprehensive system development. The study included surveys of students and academic staff, analysis of existing course adviser processes, and systematic evaluation of technological requirements. The implementation phase involved developing an intelligent chatbot system with advanced features including 24/7 availability, personalized course recommendations, real-time prerequisite verification, and automated academic progress tracking. Results demonstrate significant improvements in academic adviser services, with the chatbot system providing immediate, accurate, and consistent course guidance. The system successfully reduced administrative workload, minimized advisory errors, and enhanced student access to academic support. User acceptance testing showed high satisfaction rates among students and staff, validating the system's effectiveness in addressing traditional advisory challenges. The research contributes to the growing body of knowledge in educational technology and provides a practical framework for implementing AI-driven academic support systems. The findings suggest that intelligent chatbot systems can significantly enhance academic adviser services, offering potential applications across various educational institutions. Recommendations for future development and system optimization are provided based on the research
outcomes.