Autonomous Timetable System Using Genetic Algorithm

Time Management is one of the most important factors in a student's life. Many studies have shown a relationship between the anxiety and stress of a student's life with effective time management. Timetable Generation is one of the most tedious jobs with the capacity for many errors and mistakes. There are several different methods proposed to solve this problem. Motivated by these studies, this article proposes an application for an autonomous system that handles the generation of the weekly timetable. The proposed framework utilizes genetic algorithm for the generation of a weekly timetable depending on various factors like time, subjects, and the difficulty of the subject for a respective student. With the genetic algorithm operators and the constraints provided by the student, the timetable generated fulfills all the required constraints and minimizes minor hindrances related to the timetable generated. The proposed framework provides the ability to the student, to customize their weekly timetable on factors related to their respective needs. This system is proposed to reduce the time taken to make a viable timetable and to provide better time management strategies to students in higher education systems.