Virtual Booth

Academic tracking processes in higher education institutions are often conducted manually, making them time-consuming, inefficient, and prone to human error. These limitations can lead to inaccurate academic planning, delayed decision-making, and increased administrative burden for academic staff. To address these challenges, this project proposes the development of a web-based Academic Tracking System (ATS) integrated with a Rule-Based Constraint Scheduling Algorithm. The system is designed to automate and optimize academic planning by enforcing predefined academic rules, program structures, and scheduling constraints. This ensures that students’ study plans are accurate, feasible, and aligned with institutional requirements. The proposed ATS provides a centralized platform for monitoring student progress, generating academic plans, and supporting informed decision-making. By reducing reliance on manual processes, the system enhances data accuracy, improves transparency between stakeholders, and significantly lowers administrative workload. Overall, this innovation contributes to a more efficient and reliable academic management ecosystem, supporting institutions in delivering better academic services while aligning with digital transformation initiatives in higher education.