Uni Class Scheduler System

 

Title of the Project

Uni Class Scheduler System

Students Details
202210772 Shahem Fadi 
202211652 Omar Ali Kannas 
202211761 Othamn Mundher 
202210251 Mohamad Ahmad Elyoussef 
Abstract

Universities often face problems in course scheduling and classroom allocation, such as timetable conflicts, overcrowded classrooms, and inefficient use of available facilities. These issues are mainly caused by manual scheduling and poor resource management.This project introduces UniClass Scheduler, a smart system designed to optimize university classroom allocation and course scheduling. The system ensures that classroom capacity matches student enrollment, automatically detects scheduling conflicts, and suggests suitable alternative rooms or time slots when needed. By using database-driven management and scheduling optimization techniques, UniClass Scheduler reduces human errors, improves classroom utilization, and enhances the overall efficiency of the academic scheduling process. The system provides a practical and scalable solution that can be adapted to different university environments.