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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42203
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The increasing demand for higher education has made college admissions a complex and time-consuming process. Traditional admission counselling methods often struggle to efficiently handle large volumes of applications and provide personalized guidance to students. In response to these challenges, this project explores the application of Artificial Intelligence (AI) in developing a “Smart Admission Counselling System”. The proposed system utilizes AI techniques, including machine learning and natural language processing, to streamline the admission process by automating tasks such as document analysis, application scoring, and personalized student counselling. AI-power chatbot and virtual assistants offer real-time guidance, answering students’ queries and recommending suitable courses and institutions based on their academic profiles, preferences, and career goals. Furthermore, predictive analytics enable the system to assess an applicant’s likelihood of acceptance, helping institutions optimize the selection process and the applicants refine their choices. By integrating AI, the “Smart Admission Counselling System”, enhances both the efficiency and accuracy of admissions, while providing applicants with a more personalized and accessible support experience. This innovation has the potential to revolutionize the traditional admission counselling landscape, offering a solution that benefits education institutions, admission counsellors, and prospective students.
KEYWORDS
Publication Date
9/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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