Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3253
Title: Escort - Natural Language Processing Based University Students Guidance System
Authors: Srinivasan, D
Uthayakumar, A
Thiyagalingam, P
Ravindran, S
De Silva, H
Kasthururarthna, D
Keywords: Escort
Natural Language
University Students
Guidance System
Processing Based
Issue Date: 26-Dec-2022
Publisher: IEEE
Citation: D. Srinivasan, A. Uthayakumar, P. Thiyagalingam, S. Ravindran, H. De Silva and D. Kasthururarthna, "Escort - Natural Language Processing Based University Students Guidance System," 2022 7th International Conference on Information Technology Research (ICITR), Moratuwa, Sri Lanka, 2022, pp. 1-6, doi: 10.1109/ICITR57877.2022.9992860.
Series/Report no.: 2022 7th International Conference on Information Technology Research (ICITR);
Abstract: Universities play a significant role in students’ lives and aim to provide the best education, knowledge, and experience. However, university students face many difficulties during their university life including language, communication issues, and the inability to get proper guidance for education and career improvement. This paper proposes an approach to overcome these issues. With the help of Natural Language Processing (NLP), in this paper, several solutions are recommended for the mentioned issues. First, a chatbot helps to communicate with the university administration, where students can ask relevant administrative-related questions. A recommendation system is developed to provide solutions for their psychological issues. Another recommendation system is built for career guidance which will help students to identify the future career of their interest, and the provided mentors will be able to guide them. Another recommendation system identifies the performance of students in each module according to their performance level. The system recommends learning materials to improve their level. With these components, ESCORT – A university students’ guidance system, will make students’ life easier and more efficient.
URI: https://rda.sliit.lk/handle/123456789/3253
ISSN: 2831-3399
Appears in Collections:Department of Computer Science and Software Engineering
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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