University Timetable System

Overview

A constraint-based automated scheduling web application for faculty and class allocation, built with Django. Instead of manually juggling faculty availability, room capacity and course requirements on a spreadsheet, the system solves for a conflict-free timetable automatically.

Purpose — Why This Project Exists

Manually building a university timetable means reconciling dozens of overlapping constraints — faculty availability, room capacity, course sections and time-slot clashes — which is slow and error-prone every single term. This system exists to encode those constraints once and let an automated solver produce a conflict-free schedule instead of redoing the puzzle by hand each semester.

Animated Workflow

1

Input Constraints

Faculty availability, rooms and course sections entered.

2

Conflict Detection

Overlapping time-slot and resource clashes identified.

3

Constraint Solving

Scheduling algorithm searches for a valid allocation.

4

Optimized Timetable

A conflict-free schedule is generated.

5

Admin Review

Faculty/admin review and publish via the Django panel.

Key Features

Constraint-Based Scheduling — automatically resolves faculty, room and course conflicts.

Faculty & Class Allocation — assigns instructors and sections to conflict-free slots.

Django Backend — admin panel for managing courses, rooms and schedules.

Benefits

No More Manual Conflicts

Automated solving replaces spreadsheet-based scheduling.

Faster Term Setup

Generates a full timetable in minutes, not days.

Centralized Admin Control

One Django panel manages courses, rooms and faculty.

Technology Stack

Python Django SQL

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