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An Intelligent Mobile Application to Facilitate Student's Networking using Natural Language Processing Algorithms
0
Zitationen
2
Autoren
2023
Jahr
Abstract
This paper tackles the prevalent problem of students facing resource limitations in pursuing their passions, often dueto the lack of like-minded peers within their school environment. To address this issue, we propose the development of a team-management app that serves as a transformative platform, enabling students to connect with others who share their interests and aspirations [1]. The application contains three components: the team management system, the search system, and the chat system. Throughout the development process, we encountered various challenges, such as ensuring user privacy. Comparative analysis with three alternative solutions demonstrated several notable advantages, including an intuitive and user-friendly interface, granting students full autonomy over their clubs, and being open to all students from diverse club interests. This innovative application has the potential to empower students, foster collaboration, and provide a valuable resource for educational institutions and students alike [2]
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