This project aimed to streamline the process of generating conflict-free timetables by leveraging a Genetic Algorithm. The project likely involved taking input parameters such as the number of classrooms, teachers, classes, subjects, and preferred timings. By utilizing the genetic algorithm, the system would have iteratively generated and evolved potential timetables, optimizing for factors like room availability, teacher schedules, and class constraints. The end result would be an automated timetable that minimizes conflicts and meets the specified criteria, providing an efficient solution for scheduling in educational institutions.