Automated Timetable Generation With Real-Time Updates

This paper presents an automatic generation of a real-time timetabling system, which overcomes the limitations of traditional systems by avoiding traditional conflicts, in efficiency, and inflexibility. The constraints used in optimizing the genera- tion process are advanced: multiple constraints handling, includ- ing availability of teachers, classroom availability, balance in the scheduling, and conflicts. The current system incorporates some innovations, such as the capability to update real-time changes, thus making it easier to handle dynamic changes – for instance, swapping classes between teachers, reports of teacher absence, and special adjustment requests. These updates are instantly synchronized across all devices with minimal disruption to ensure flexibility in day-to-day academic operations. It is built for high scalability and efficiency, with the use of Firebase for real-time data updates, Flutter for a responsive and user-friendly cross- platform experience, and Docker to support scalable and reliable deployments. Moreover, the platform supports enhanced admin- istrative control, real-time notifications, and detailed analytics for improved decision-making. This significantly improves the efficiency, accuracy, and adaptability of the scheduling process as the system has automation in the scheduling process that reduces manual effort, minimizes errors, and provides greater flexibility compared to the traditional static timetables. This paper is based on a detailed design of the system with a technological basis, providing rich benefits to the administrators, faculty, and students.