Select Timetable Generator

Choose your institution type to launch the customized scheduling system

UNIVERSITY

University Timetable

Designed for colleges and universities with multi-batch departments, theory/lab rooms, credit hours, and parallel student groups.

SCHOOL

School Timetable

Tailored for schools with Class/Grade schedules, teacher allocations, and weekly subject periods.

What is this?

An AI-powered scheduling engine that automatically builds conflict-free timetables for universities and schools using Genetic Algorithms — no manual effort needed.

Genetic Algorithm Engine

Evolves hundreds of candidate schedules over generations to find the optimal, conflict-free solution automatically.

Zero Scheduling Conflicts

No teacher, room, or student group is ever double-booked across the entire weekly timetable.

Instant Generation

Enter rooms, faculty, and subjects — a complete exportable schedule is produced in under 2 seconds.

Export to PDF & Excel

Download your timetable as a print-ready PDF or Excel sheet for sharing and record-keeping.

Video Thumbnail
Watch Video Walkthrough

Watch full step-by-step video demonstration of the project on YouTube

Watch Demo Video
Timetable Generator

About The Project

Conflict-Free Timetable Generator Engine developed using Genetic Algorithms.

Project Overview

This academic scheduler is an intelligent, conflict-free timetable generation engine powered by Genetic Algorithms. It optimizes room allocations, faculty schedules, and weekly period constraints to automate institution-wide scheduling. It supports parallel student groups, credit hours, and specialized theory vs. lab assignments, ensuring conflict-free structures with optimal resource usage.

Zero Conflicts

Resolves overlapping teacher, room, and student schedules automatically.

Genetic Evolution

Uses selection, crossover, and mutation mechanisms to find optimal solutions.

Flexible Constraints

Supports credits, continuous lab sessions, and custom department criteria.

University & School

Dedicated modes for both university departments and school class scheduling.

Project Developers
CL

Chinnamalreddy Lekhana

CSE Student

IIITDM Kancheepuram

cmlekhana.5@gmail.com

LinkedIn Profile

VS

Veeraboyena Venkata Spoorthy

CSE Student

IIITDM Kancheepuram

spoorthyyadav8@gmail.com

LinkedIn Profile

Faculty Mentor
SH

Dr. Syed Shahul Hameed A S

Assistant Professor

Ph.D., NIT Puducherry
Post-Doctoral, IIT Bombay
shahulhameed@iiitdm.ac.in
Faculty Profile / Contact