Details

Autor(en) / Beteiligte

• Ali, Md. Noyan
• Jahan, Nusrat
• Siddik, Abu Bokor
• Akter, Mst. Shorifa
• Nasir, Nazib Abdun
• Reza, Md Tanzim
• Quader, Mozdaher Abdul
• Kabir, Ms. Sumaiya
• Rahman, Md Mizanur

Titel

Thesis Management System Website for Suggesting Title and Summary from Abstracts

Ist Teil von

• 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2024, p.1-5

Ort / Verlag

IEEE

Erscheinungsjahr

2024

Link zum Volltext

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• This paper describes the implementation of a website designed to assist university seniors in selecting a project and thesis topic, as well as providing guidelines for thesis submission and completion. Through the usage of artificial intelligence and web programming, the system facilitates project administration while maintaining easy to use interface. The platform also includes a title generator that employs advanced NLP models such as T5 and BART to generate relevant and original titles based on the abstracts of students' topics. In addition, it provides summarising tools to help users create clear summaries of their work. The study includes a thorough survey of 40 students to determine their requirements and expectations of the system. We also discuss various aspects such as HCI usability, UX design, and common problems encountered by graduating college students. In addition, they describe the common thesis and project management systems in universities around the globe. The system features an interface for project management, a search bar for topic searching, and the BART and T5 models for title generation. The results of the evaluation of the system indicate a high degree of necessity and usability based on student feedback. The study ends with ideas for improvements that could be made in the future, such as a search bar that uses NLP to make it easier to find topics, students, or teachers.