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Paper ID:IJSREM67732

AI DRIVEN INTELLIGENT CONVERSATIONAL FRAMEWORK FOR AUTOMATED COLLEGE ADMISSION ASSISTANCE SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67732

Volume:

10 |

10 |

Oct 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

PRD

Piyush Rajan Desai

Electronics and telecommunication engineering

Dr. Daulatrao aher collage of engineering karad

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PVJ

Prathmesh Vilas Jadhav

Electronics and telecommunication engineering

Dr. Daulatrao aher collage of engineering karad

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OSB

Omkar Sambhaji Bongane

Electronics and telecommunication engineering

Dr. Daulatrao aher collage of engineering karad

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Mentors

PJSK

Prof. Jyothi. S. Kavathekar

Electronics and telecommunication engineering

Dr. Daulatrao aher collage of engineering karad

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Abstract

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

AI admission assistance touchscreen kiosk ESP32-S3 CAP registration MHT-CET cutoff data branch prediction.

Cite This Article

Piyush Rajan Desai, Prathmesh Vilas Jadhav, Omkar Sambhaji Bongane, Prof. Jyothi. S. Kavathekar, "AI DRIVEN INTELLIGENT CONVERSATIONAL FRAMEWORK FOR AUTOMATED COLLEGE ADMISSION ASSISTANCE SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-3, Oct 2026.

Full Article/Conclusion

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.

References

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.  

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Publication Date

10/10/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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