Overview
UniSched was developed as the final Bachelor's project at Kabul University and successfully defended. It combines a web-based scheduling workflow with a Python optimization engine.
FULL-STACK WEB APPLICATION
Completed · Final-year projectUniSched.
AI Schedule · University Timetable Management System
A university timetable management system designed to generate conflict-free schedules across departments, rooms, instructors, and academic constraints.
Problem
University timetables must coordinate departments, rooms, instructors, and other requirements while avoiding scheduling conflicts.
Approach
The system models scheduling requirements as hard and soft constraints and uses Google OR-Tools CP-SAT, a constraint programming and optimization solver, to generate candidate timetables.
Responsibilities
- Designed a constraint-based university scheduling system.
- Integrated a Python scheduling engine with the Laravel and React web platform.
- Modeled hard and soft scheduling constraints.
- Designed a relational schema spanning 49 tables and implemented role-based access control.
- Supported Dari and Pashto interfaces with RTL layouts.
- Worked on data integrity, export, backup, technical documentation, ERDs, and UML class diagrams.
Key capabilities
- Conflict-aware timetable generation across academic resources
- Hard- and soft-constraint scheduling
- Bilingual Dari and Pashto user interfaces with RTL support
- Role-based access control
- Data export and backup workflows
Architecture
- Laravel, PHP, React, TypeScript, and Inertia.js web platform
- Python scheduling engine integrated with the web application
- Google OR-Tools CP-SAT constraint optimization
- Relational database schema with 49 tables
Engineering work
- Diagnosed scheduling algorithm behavior and translated academic requirements into constraint models.
- Coordinated a Python-based optimization engine with the full-stack web platform.
- Documented data relationships and application architecture with ERD and UML diagrams.