AstraClass: Automated Academic Scheduling using Artificial Intelligence

Schools often experience significant challenges in formulating and maintaining dayto- day schedules that suitably balance teachers' schedules, subject periods, available classrooms, and student needs. Conventionally, scheduling approaches largely involve reliance on paperwork, which remains prone to human errors and wastes significant amounts of time. In this paper, we present AstraClass, an Intelligent System designed particularly for school timetabling and classroom scheduling. Using Artificial Intelligence (AI) and Multi-Objective Decision Support, the system automatically generates optimized and conflict-free schedules. It considers multiple variables such as teachers' preferences, subject rankings, classroom occupancy, and period allocation. Using heuristic algorithms and predictive analytics, AstraClass reduces administrative workload, lowers scheduling conflict, and maximizes the entire resource usage in school organizations. The approach yields a scalable, efficient, and smart system for modern school administration systems.