Title: Implement AI Agent-Based Timetable Automation System
Labels: enhancement, ai, backend, architecture
Description:
Current timetable generation is rule-based and manual in execution.
Future improvement is to introduce AI-driven agents that can:
- Automatically generate optimized timetables
- Resolve conflicts dynamically
- Balance faculty workload
- Optimize room and batch allocation
Expected Enhancement:
- Multi-agent scheduling system
- Constraint-aware AI optimization
- Integration with LLM-based decision support
Title: Implement AI Agent-Based Timetable Automation System
Labels: enhancement, ai, backend, architecture
Description:
Current timetable generation is rule-based and manual in execution.
Future improvement is to introduce AI-driven agents that can:
Expected Enhancement: