International Journal of Scientific Research and Engineering Development

The generation of academic timetables is a complex task that requires managing multiple constraints such as teacher availability, classroom allocation, and course schedules. Manual methods are timeconsuming and prone to errors. This research paper presents an automated Time Table Generator using algorithmic and optimization techniques that efficiently produce conflict-free schedules. The system collects faculty, course, and classroom data, applies constraints, and generates an optimized timetable that ensures maximum resource utilization. Experimental results show a significant reduction in scheduling time, elimination of conflicts, and improved flexibility compared to manual scheduling. The proposed model enhances productivity and can adapt dynamically to institutional changes.