Project Title: Mobile Application for Scheduling Workforce   
Student: Hamza Najib
Course: MS in Computer Science (Artificial Intelligence)  

Abstract: 
This paper focuses on the solution of problem that is to develop an application which
automates the scheduling of the part-time or full-time employees for any organization.
Utilizing Google-OR tool, which is a constraint programming model which incorporates
discrete variables and domains to represent shifts, employees, and dates, while enforcing
critical real-world constraints including employee availability, role-specific requirements, 
and maximum working hours, for generating weekly rotas that are in accordance with the
organization and the employee availability preferences. The key difference from the other
application is shift-swapping feature, where an automation is action to resolve the conflict by
parsing a subset of problem to reassign the shift before escalating to management. The results
scalability analysis in future can confirm that the algorithm is delivering solutions which are
acceptable for its target demographic. This approach provides a robust, practical, and
academically contributive solution by successfully bridging the gap between theoretical
optimization algorithms and a user-accessible platform that reduces administrative overhead
and enhances scheduling flexibility. The study concludes that integrating this powerful
Google-OR framework into an accessible platform can provide a vital contribution by
primarily contracting administrative overhead, reducing scheduling conflicts, and
strengthening operational flexibility with employee contentment within the SME sector.