Completed Project · Artificial Intelligence

CAL-AI: Agentic AI-Based Intelligent Academic Calendar and Dynamic Scheduling System

System uses AI agents to automatically schedule and reschedule classes, meetings, exams, and academic activities by considering availability, priorities, resources, and conflicts in real time.

About the Project

CAL-AI: Agentic AI-Based Intelligent Academic Calendar and Dynamic Scheduling System is an AI-powered platform designed to automate and optimize academic scheduling in universities and educational institutions. The system uses Agentic AI to intelligently manage class timetables, laboratory sessions, examinations, faculty meetings, project reviews, seminars, workshops, and other academic activities.

CAL-AI considers multiple constraints such as faculty availability, student schedules, classroom and laboratory capacity, resource availability, academic priorities, holidays, and institutional events while generating an optimized calendar. Unlike conventional calendar systems, CAL-AI can autonomously detect scheduling conflicts, recommend suitable alternatives, and dynamically reschedule affected activities when unexpected changes occur.

The platform can also provide a natural-language conversational interface through which users can give instructions such as “Schedule the project review next week when all faculty members are available” or “Reschedule tomorrow's laboratory session without affecting other classes.” AI agents analyze the request, check relevant constraints and available time slots, and recommend or execute an appropriate scheduling action.

Additional features can include personalized daily schedules, intelligent reminders, deadline tracking, workload analysis, priority-based task management, notifications, and AI-generated weekly academic summaries. CAL-AI can therefore reduce administrative workload, minimize scheduling conflicts, improve utilization of institutional resources, and provide a more efficient and adaptive academic planning environment.

Timeline & Status

Status
Completed
Start
17 September 2026
End
31 December 2026
Area
Artificial Intelligence
Progress 0%

Research Team

SH
Sarfraz Hussain Project Lead

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