INTELLIGENT UNIVERSITY STUDENT-STAFF APPOINTMENT MANAGEMENT SYSTEM (GO-AMG)

ANYANWU, FAVOUR CHIDALU (2026) INTELLIGENT UNIVERSITY STUDENT-STAFF APPOINTMENT MANAGEMENT SYSTEM (GO-AMG). Other thesis, Godfrey Okoye University, Enugu Nigeria.

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Abstract

The persistent inefficiency of manual student-staff appointment scheduling in Nigerian universities results in prolonged waiting times, wasted student journeys, unstructured office crowding, and the absence of any data-driven mechanism for managing staff accessibility. This research addresses these challenges through the design and development of the Intelligent University Student-Staff Appointment Management System (GO-AMG), a centralized, web-based intelligent scheduling platform for Godfrey Okoye University. The system implements a two-agent model comprising a human agent, represented by the staff member who controls real-time availability through a toggle mechanism, and an AI agent that records every toggle event, trains a Random Forest Classifier on the accumulated historical data, and serves availability predictions through both a visual interface and a conversational chatbox. Key system features include a priority-based virtual queue with drag- and-drop reordering, mandatory urgency justification for urgent and critical appointments, real-time queue position tracking, instant availability alerts, an anonymous star rating system, and a comprehensive administrative analytics dashboard. The AI model achieved a classification accuracy of 73.74 percent on a noise-injected test set. All twelve system test cases passed, and the user interface was confirmed to be functional across all three roles. The results demonstrate that the GO-AMG system successfully addresses the identified appointment scheduling challenges and represents a meaningful contribution to intelligent administrative systems in higher education.

Item Type: Thesis (Other)
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Computing And Information Technology (FACIT)
Depositing User: Cynthia Ugwuoti
Date Deposited: 24 Jul 2026 12:30
Last Modified: 24 Jul 2026 12:30
URI: http://eprints.gouni.edu.ng/id/eprint/5958

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