Hybrid GA-SA Algorithm Powered

GAIAS: Smarter Scheduling for a Seamless Semester.

Replace manual, error-prone timetabling with near-optimal class and exam schedules powered by a hybrid Genetic Algorithm and Simulated Annealing (GA-SA).

Near-optimal
Real-time
Automated
GAIAS Dashboard Preview
GAIA Dashboard
Beta
Real-time Updates
Live availability
GA-SA Optimized
Near-optimal solutions
What is GAIAS?

GAIAS is a web-based platform designed specifically for the College of Teacher Education and Technology (CTET) to automate the complex process of scheduling classes and exams.

By moving away from manual processes, GAIAS uses a powerful hybrid algorithm to manage faculty, rooms, and courses, dramatically reducing the time, effort, and errors associated with semester-by-semester scheduling.

50%
Time Reduction
99.9%
Resource Utilization
24/7
Availability
Real-time
Updates

How GAIAS Works

The intelligent scheduling process in three steps

Data Input

System collects faculty preferences, room availability, course requirements, and time constraints from administrators and faculty members.

Core Features

Everything you need to manage academic scheduling efficiently

Intelligent Scheduling Engine

Automatically generates conflict-free schedules using a hybrid GA-SA algorithm.

Comprehensive Resource Management

Manage Faculty, Rooms, Sections, Courses, Days, and Time efficiently.

Role-Based Access Control (RBAC)

Secure, personalized dashboards for Admin, Schedule Officers, Faculty, and Students.

Faculty Preference Integration

Allows schedule officer to input availability of the faculty for the algorithm to consider.

Real-Time Notifications

Instant alerts for all users on schedule updates and changes.

Data Security

Employs AES encryption and secure HTTPS/SSL transmission.

Frequently Asked Questions

Got questions? We've got answers.

Meet Our Development Team

The talented people behind GAIAS

Hughlene R. Cabanatan

Hughlene R. Cabanatan

Project Manager

Dave Angelo Labad

Dave Angelo Labad

Lead Back-end Developer

Ahmed B. Aldaca

Ahmed B. Aldaca

Lead Front-end Developer

Archie A. Cenas

Archie A. Cenas

Technical Adviser

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GAIAS

Genetic Algorithm Integrated Academic Scheduler with Simulated Annealing

Contact

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