CampusAlly Scheduling Engine is designed to solve the NP-hard problem of university timetabling. By utilizing advanced constraint satisfaction algorithms, it automatically detects and resolves conflicts between Professor Availability, Room Capacity, and Student Batches, saving weeks of manual administrative work.
Smart Allocation
The system stops errors before they happen.
From weeks of work to minutes of processing.
Maximize the ROI of your expensive infrastructure.
Orchestrate exams without chaos.
Data-driven task assignment, compliant with norms.
Updates in everyone's pocket, instantly.
| Feature | CampusAlly AI | Manual / Excel |
|---|---|---|
| Clash Detection | Automatic (0 Errors) | Manual (Prone to errors) |
| Time to Create | ~30 Minutes | 3-4 Weeks |
| Optimization | Maximize Room Usage | Inefficient gaps |
| Updates | Instant Notification | Print on Notice Board |
Yes. The system supports Choice Based Credit Systems (CBCS). It groups electives into clusters to ensure students can take minor courses without clashing with major subjects.
Yes. You can define Week A / Week B schedules often used for lab rotations in engineering and medical colleges.
Yes. You can have a decentralized model where HODs draft their department schedules, and the central registrar approves them for conflict checking.