Published Paper Details:

The process of manually creating timetables in colleges with a large number of students is very time-consuming and often results in scheduling conflicts, with classes clashing in timing or room, or teachers having more than one class simultaneously. This manual workflow leads to many system issues and restrictions. The organization cannot meet its needs in a timely manner and the outcomes may also lack accuracy, mainly due to common human errors that are difficult to prevent in such processes. To resolve these issues, we propose developing an automated system. The Automatic Timetable Generator system would take various inputs such as faculty, student, subject details, and based on these inputs, generate a feasible timetable that optimally utilizes all resources to best fit the specified constraints or college policies. The Adaptive Timetable Generator system is an automated system that produces timetables according to the data provided by the user. The main requirements of the application are to collect details about the branch, semester, subjects, labs and total number of periods. The list of subjects may include electives and core subjects, with students needing to choose their electives. The application then generates the timetable according to specifications.