DESIGN AND IMPLEMENTATIONOFANINTELLIGENT CHATBOT COURSEADVISERSYSTEM

This research focuses on the design and implementation of an intelligent chatbotcourse adviser system for the Department of Computer Scienceat theUniversity of Benin. The study addresses the limitations of traditional manualcourse 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 qualitativeandquantitative data collection techniques to ensure comprehensive systemdevelopment. The study included surveys of students and academicstaff, analysis of existing course adviser processes, and systematic evaluationoftechnological requirements. The implementation phase involved developinganintelligent chatbot system with advanced features including 24/7 availability, personalized course recommendations, real-time prerequisite verification, andautomated academic progress tracking. Results demonstrate significant improvements in academic adviser services, with the chatbot system providing immediate, accurate, and consistent courseguidance. The system successfully reduced administrative workload, minimizedadvisory errors, and enhanced student access to academic support. Useracceptance testing showed high satisfaction rates among students andstaff, xi validating the system's effectiveness in addressing traditional advisorychallenges. The research contributes to the growing body of knowledge in educationaltechnology and provides a practical framework for implementing AI-drivenacademic support systems. The findings suggest that intelligent chatbot systemscan significantly enhance academic adviser services, offeringpotentialapplications across various educational institutions. Recommendationsforfuture development and system optimization are provided based on the researchoutcomes.