AI Timetable Management System

Overview

The AI Timetable Management System is a full-stack web application designed to automate and simplify academic timetable generation. It takes inputs such as subjects, faculty, classrooms, available time slots, and scheduling constraints to generate an efficient and clash-free timetable.

How It Works

The system uses Constraint Satisfaction Problem (CSP) Backtracking to assign subjects to suitable time slots while avoiding conflicts between faculty, classrooms, and classes. Simulated Annealing is then used to optimize the generated timetable by improving slot distribution and reducing scheduling conflicts.

Key Features

Automatically generates clash-free academic timetables.
Handles constraints related to faculty, classrooms, subjects, and time slots.
Combines CSP Backtracking and Simulated Annealing for timetable generation and optimization.
Provides an interactive React-based interface for managing timetable data.
Uses a Flask backend to process scheduling requests and run optimization algorithms.
Displays generated timetables in a simple and user-friendly format.

Technology Stack

Frontend: React, JavaScript
Backend: Python, Flask
Algorithms: CSP Backtracking, Simulated Annealing
Tools: Git, GitHub

Scope

The system can be used by schools, colleges, and universities to automate timetable creation, manage scheduling constraints, and reduce manual effort.

Future Enhancements

Future versions can include role-based access, Excel export, real-time notifications, faculty preferences, and integration with college ERP systems.