Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3253
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dc.contributor.authorSrinivasan, D-
dc.contributor.authorUthayakumar, A-
dc.contributor.authorThiyagalingam, P-
dc.contributor.authorRavindran, S-
dc.contributor.authorDe Silva, H-
dc.contributor.authorKasthururarthna, D-
dc.date.accessioned2023-02-11T07:23:46Z-
dc.date.available2023-02-11T07:23:46Z-
dc.date.issued2022-12-26-
dc.identifier.citationD. 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.en_US
dc.identifier.issn2831-3399-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3253-
dc.description.abstractUniversities 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.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 7th International Conference on Information Technology Research (ICITR);-
dc.subjectEscorten_US
dc.subjectNatural Languageen_US
dc.subjectUniversity Studentsen_US
dc.subjectGuidance Systemen_US
dc.subjectProcessing Baseden_US
dc.titleEscort - Natural Language Processing Based University Students Guidance Systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICITR57877.2022.9992860en_US
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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