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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67732
Volume:
10 |
10 |
Oct 2026
Pages:
1-3
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.
Electronics and telecommunication engineering
Dr. Daulatrao aher collage of engineering karad
Electronics and telecommunication engineering
Dr. Daulatrao aher collage of engineering karad
Electronics and telecommunication engineering
Dr. Daulatrao aher collage of engineering karad
Electronics and telecommunication engineering
Dr. Daulatrao aher collage of engineering karad
College admission can be difficult for students because information about the admission cell, required documents, Centralized Admission Process (CAP) registration and branch availability is often available in different places. This paper presents an AI-enabled interactive admission assistance kiosk designed for one specific college. The system uses a touchscreen interface and an ESP32-S3 controller to provide three main services. The first service shows the location and basic details of the admission cell. The second service provides CAP document information, important instructions and a video explaining the CAP registration process. The third service compares a student's MHT-CET percentile, category and CAP round with previous-year CAP cutoff data of the same college and displays branches that may be possible. The system is intended to give simple and quick guidance through a single interactive interface. The prediction is indicative only and does not guarantee current-year admission.
KEYWORDS
This paper presents an AI-enabled intelligent conversational framework for college admission assistance using a touchscreen kiosk. The proposed system combines admission-cell location, CAP document and registration guidance, AI-based admission assistance and indicative branch prediction for one college. The use of an ESP32-S3 and a simple touchscreen interface supports a compact embedded implementation. By bringing common admission information into one interface, the system is intended to reduce confusion and make basic admission guidance easier to access. The branch prediction feature is designed only as a reference based on previous CAP cutoff data and not as a guarantee of admission.
1. Maharashtra State Common Entrance Test Cell, State Common Entrance Test Cell, Government of Maharashtra, Official Website and Admission Information. 2. M. A. Kuhail, N. Alturki, S. Alramlawi, and K. Alhejori, “Interacting with Educational Chatbots: A Systematic Review,” Education and Information Technologies, 2023. 3. C. W. Okonkwo and A. Ade-Ibijola, “Chatbots Applications in Education: A Systematic Review,” Computers and Education: Artificial Intelligence, 2021. 4. S. Wollny, J. Schneider, D. Di Mitri, J. Weidlich, M. Rittberger, and H. Drachsler, “Are We There Yet? – A Systematic Literature Review on Chatbots in Education,” Frontiers in Artificial Intelligence, 2021. 5. T. Debets, S. K. Banihashem, D. Joosten-Ten Brinke, T. E. J. Vos, G. Maillette de Buy Wenniger, and G. Camp, “Chatbots in Education: A Systematic Review of Objectives, Underlying Technology and Theory, Evaluation Criteria, and Impacts,” Computers & Education, 2025.
Publication Date
10/10/2026
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.
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No funding information available for this research.
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