A comprehensive digital platform designed to efficiently and fairly manage and distribute teaching workloads among faculty members in the Chemistry Department.
As a member of the Study Schedules Committee at the Chemistry Department, I designed and developed this system to organize teaching duties and timetables with precision and fairness.
Automated Workload Distribution
Intelligent algorithms ensure fair and balanced distribution of teaching responsibilities across all faculty members.
Fair Resource Allocation
Advanced algorithms consider faculty expertise, availability, and preferences for optimal scheduling outcomes.
Real-time Schedule Management
Live updates and instant conflict resolution ensure schedules remain accurate and up-to-date.
Analytics & Reporting
Comprehensive analytics provide insights into workload distribution and scheduling efficiency.