Schedule Optimizer
Abstract
Problem Statement
The growing complexity of academic scheduling in educational institutions often leads to manual errors, time conflicts, and inefficiencies that affect faculty, administration, and students alike. This project, Schedule Optimizer, presents an intelligent solution that automates timetable creation using Artificial Intelligence. The system is designed to generate conflict-free schedules by considering constraints such as teacher availability, room allocation, and course requirements. By minimizing human effort and reducing scheduling conflicts, the Schedule Optimizer not only enhances operational productivity but also ensures transparency and better time management across the board. This project represents a step toward smarter, AI-powered academic administration in the digital age.
The Schedule Optimizer project addresses inefficiencies in manual timetable management by automating the scheduling process, resolving conflicts, and providing real-time updates. This ensures smooth academic operations and improves user experience for administrators, faculty, and students. o Manual timetable creation is time-consuming and error prone. o Lack of a centralized system for managing schedules. o Difficulty in handling last-minute changes and makeup classes.
Domain Model
Flow Diagram
Demo Video
Flow Diagram
Demo Video
Domain Model
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Demo Video
Flow Diagram
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Demo Video
Watch the demo video below for a guided walkthrough of the project's key features and functionality. It offers a clear look at the system's interface, workflow, and how it performs in real-world scenarios.
Demo Video
Architecture Diagram
Explore the project’s source code on GitHub to dive deeper into its structure, logic, and implementation. The repository includes all files, documentation, and version history for those interested in the development process.
View the project poster for a visual summary of the concept, and methodology. It highlights the key components, architectural diagrams, and project outcomes in a concise, easy-to-understand format designed for quick review.
Project Poster
View the project poster for a visual summary of the concept, and methodology. It highlights the key components, architectural diagrams, and project outcomes in a concise, easy-to-understand format designed for quick review.
GitHub Link
Explore the GitHub repository for a complete view of the code, architecture, and implementation process. It provides version history, modular structure, and technical insight in a clear and accessible format.