- python 3.6 or above
- Django 2.0 or above
git clone https://github.com/PROxZIMA/TimetableScheduler.git/cd TimetableSchedulerpython manage.py runserver- then go to port
http://127.0.0.1:8000/to run the local server
Project uses genetic algorithm to satisfy the constraints related to Timetable scheduling. The program satisfies the following constraints:-
| Hard Constraints | Soft Constraints |
|---|---|
| Unique class timing | classes are alloted according to section requirements |
| Course.students <= room.seating capacity | All courses are according to their department |
| Two classes dont have same room | Even distribution of course in a section per week |
| Class timing for each teacher is unique | |
| Teachers are allocated to their course accordingly |
