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University Timetabling Solver
Problem
Manual university timetable creation can involve conflicts between faculty, rooms, classes, and time slots.
Solution
Built an automated scheduling system using Python and Google OR-Tools CP-SAT to generate feasible timetables based on configurable constraints.
Key features
Faculty availability constraints
Room availability and capacity
Class/subject scheduling
Time-slot constraints
Conflict prevention
Constraint-based optimization
Automated timetable generation
Web/API interface, if your implementation includes it Technical implementation
Python
Google OR-Tools CP-SAT
Constraint programming
Scheduling algorithms
FastAPI, if actually used
PostgreSQL, if actually used Outcome The system automatically generates feasible schedules instead of requiring the timetable to be constructed manually, while respecting the defined constraints.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
University Timetabling Solver
Problem
Manual university timetable creation can involve conflicts between faculty, rooms, classes, and time slots.
Solution
Built an automated scheduling system using Python and Google OR-Tools CP-SAT to generate feasible timetables based on configurable constraints.
Key features
Faculty availability constraints
Room availability and capacity
Class/subject scheduling
Time-slot constraints
Conflict prevention
Constraint-based optimization
Automated timetable generation
Web/API interface, if your implementation includes it Technical implementation
Python
Google OR-Tools CP-SAT
Constraint programming
Scheduling algorithms
FastAPI, if actually used
PostgreSQL, if actually used Outcome The system automatically generates feasible schedules instead of requiring the timetable to be constructed manually, while respecting the defined constraints.
University Timetabling Solver
Problem
Manual university timetable creation can involve conflicts between faculty, rooms, classes, and time slots.
Solution
Built an automated scheduling system using Python and Google OR-Tools CP-SAT to generate feasible timetables based on configurable constraints.
Key features
Faculty availability constraints
Room availability and capacity
Class/subject scheduling
Time-slot constraints
Conflict prevention
Constraint-based optimization
Automated timetable generation
Web/API interface, if your implementation includes it Technical implementation
Python
Google OR-Tools CP-SAT
Constraint programming
Scheduling algorithms
FastAPI, if actually used
PostgreSQL, if actually used Outcome The system automatically generates feasible schedules instead of requiring the timetable to be constructed manually, while respecting the defined constraints.
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