Timex: Timetable Automation System for Educational Resource Scheduling in Smart Campus

Abstract: Academic timetable generation is a complex scheduling problem involving multiple institutional resources such as faculty members, classrooms, laboratories, student batches, and time slots. Traditional manual scheduling approaches are time-consuming and often lead to conflicts, inefficient resource utilization, and administrative overhead. This paper proposes Timex, an intelligent timetable automation framework designed for smart campus environments. The system integrates constraint-based scheduling with artificial intelligence–inspired optimization techniques to efficiently allocate academic resources while satisfying institutional policies and operational constraints. The proposed system supports dynamic timetable generation, real-time schedule modifications, and automated conflict detection.

Experimental evaluation demonstrates that the Timex framework significantly improves classroom and laboratory utilization while reducing scheduling time compared with traditional manual approaches. The system provides a scalable and reliable solution for modern educational institutions seeking intelligent academic resource management.

Keywords: Academic Timetable Scheduling, Smart Campus, Artificial Intelligence, Constraint Satisfaction, Resource Optimization, Educational Automation