Efficient and Automated Approach for Time Table Generation

Efficient and Automated Approach for Time Table Generation

1Tarun G S, 2Ravi Shivaji Mahipati, 3V S Krishna Chaitanya Avvari, 4Shet Reshma Prakash

1 UG Student SCSE, 2 UG Student SCSE, 3 UG Student SCSE, 4Assistant Professor SCSE Presidency University, Banglore-560 064
taruntarunyadav2021@gmail.com, ravimahipati011@gmail.com, krishnaavvari2003@gmail.com

reshma.prakash@presidencyuniversity.in

Abstract-- Abstract-- As the need for summer term timetabling increases, this project presents a Summer Term Timetable Generation System that is aimed at making the process much more convenient and efficient. Developed with HTML, CSS, JavaScript for the frontend, and Django using SQLite3 for the backend, the system generates academic timetables automatically. It considers vital considerations such as availability of teachers, requirements of the course, how many students are registered, and available room capacities. By so doing, it assists in minimizing human labour and evades some typical issues such as double- booking or clashes of schedules. Data management is handled by Django's backend while SQLite3 offers an easy-to-use, efficient, and light form of storage of schedule details. On the user side, the interface is interactive, clean, and simple to use that can be easily used by administrators as well as faculty members. Smart scheduling algorithms are used by the system which avoid clashes and assign all the resources teachers, rooms, and times fairly. Experiments show that it is effective and can create flexible, flawless timetables. In the future, much scope exists to enhance the system further using AI-based optimization and implementing it on the cloud for increased speed, scalability, and performance