Building Smarter Student Support Through Artificial Intelligence
This portfolio presents the architectural framework of an AI-driven Early-Warning Predictive System designed to identify postgraduate and distance-learning students who may be at academic risk. The proposed solution analyzes Learning Management System (LMS) data, predicts risk levels, and supports timely intervention by academic advisors while maintaining fairness, transparency, and accountability.