Examination Arrangement System of Assumption University
ARMS is an examination arrangement system of Assumption University. It aims to improve the current system manual arrangement during the examination period for university students. As a result, it provides performance, efficiency, effectiveness, and minimum effort. As mentioned, it also removes the human error which might occur during the manual process. In most universities' rooms, buildings, papers, documents, and electricity are heavily consumed during the examination period. Without proper management and allocating these resources, it might further raise the unnecessary expense of the university.
ARMS is a kind of automated system, which can automatically perform an examination seating arrangement. It provides comprehensive features to instantly arrange all the eligible exam students to the specific seats into the examination rooms. Moreover, relevant insights and reports of how the system is arranged will also be provided. Furthermore, users can also modify and manually arrange some special courses at their fingertips. In conclusion, the ARMS system is almost a one-stop solution for examination seating management.
- SOKVATHARA LIN: Full-Stack Developer
- Thanathas Chawengvorakul: Algorithm & Back-End Developer
- Grid Kornsutatipkul: Data Engineer & API Developer
ARMS is an academic project as Senior Project I (CS3200) in the Department of Computer Science, Vincent Mary School of Science and Technology of Assumption University.
ARMS system is developed for the Assumption University of Thailand specifically as a testing environment to have a more efficient way to manage their rooms for an examination.
- .Net Core (2.2 API) and (3.1 MVC Web App)
- C#
- Entity Framework Core
- Microsoft SQL Server
- JavaScript
- jQuery
- Sass
- Electron
- Firebase
- AWS
- Docker
Content is released under the consent of all members who developed this very system. You are allowed to use our project freely due to we have open-sourced this project.
The data used to conduct preliminary testings, simulation works, and POC product is mock data. And it has no confidential information or any sensitive information related to the specific individuals.
ARMS system's ownership does not belong to the Assumption University of Thailand. It is an academic project which aims to improve Assumption University's arrangement system in the future. The work, research, and simulation are to get an MVP and POC product regarding our objectives to prove the arrangement's Algorithm is working effectively and efficient enough to conduct the real-world working system.
