Room Utilization
Find unused capacity instantly
Turn infeasible timetables into workable schedules using hybrid optimization.
Automatically detects infeasibility and resolves it using hybrid scheduling.
Solve schedules that would otherwise be impossible.
Powered by constraint optimization and hybrid scheduling algorithms.
Student Conflicts
Catch clashes before they happen
Hybrid Feasibility
Automatically rebalance load when needed
Risk Diagnostics
Know if your timetable will fail — before solving
Feasibility Analysis
Physical Mode
PHYSICALLY INFEASIBLE
58%
shortage in room capacity
Cannot be solved with physical rooms alone.
Hybrid Mode
FEASIBLE WITH HYBRID
100%
classes successfully scheduled
Load automatically rebalanced. Zero conflicts.
150
Total Classes
7
Unique Rooms
19
Students
100
Quality Score
1
Upload Timetable JSON
2
Detect Constraints
3
Check Feasibility
4
Apply Hybrid Optimization
5
Generate Schedule
Summary
This section shows solver objectives and solution quality metrics.
Room Utilization
Statistics on room usage across all scheduled classes.
Optimization Objectives
Score breakdown across all optimization objectives z1–z5.
Realtime Control Center
Live controller signals for SLA, drift, pressure, and decision stability.
Diagnostics
Input risk, violations, and recommendations from solver output.
Class Occupancy
Visual representation of students per class. Each bar shows number of enrolled students.
Timetable
One row per class. Sorted by day and start time. Use filters above to narrow results.
| Class ID | Course Name | Day | Start | End | Room | Students |
|---|