Abstract
This research addresses the challenges faced by students and staff in universities and organisations, including comprehension of complex tasks, problem-solving, workload management, and academic progress challenge. Many struggle to meet task requirements and fulfil responsibilities. To alleviate these challenges, we propose an innovative AI-based platform providing on-demand guidance and clarification while prioritising confidentiality and security within ethical guidelines. Through a comprehensive review of existing research, we identify gaps and present a structured framework for platform development and implementation. Our approach, integrating deep learning through natural language processing with transformer models, not only addresses common problems but also fosters a culture of collaborative knowledge-sharing.
| Original language | English |
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| Title of host publication | Lecture Notes in Networks and Systems |
| Publisher | Springer Nature |
| Publication status | Accepted/In press - 27 Feb 2024 |
| Event | Intelligent Systems Conference 2024 (IntelliSys 2024) - Amsterdam, Netherlands Duration: 5 Sept 2024 → 6 Sept 2024 https://saiconference.com/IntelliSys |
Conference
| Conference | Intelligent Systems Conference 2024 (IntelliSys 2024) |
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| Abbreviated title | IntelliSys 2024 |
| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 5/09/24 → 6/09/24 |
| Internet address |