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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM28616

College Chatbot

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM28616

Volume:

8 |

2 |

Feb 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM28616

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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NC

Nischitha C.B

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Abstract

By harnessing the capabilities of Large Language Models (LLM), the proposed system evolves into a sophisticated conversational agent, capable of understanding nuanced user inputs, providing context-aware responses, and delivering an unparalleled level of engagement. This chatbot is also equipped to assess a student’s likelihood of being accepted into a specific program at the college using a machine learning (ML) model. The model analyzes the student’s rank and eligible quota (such as reserved categories) in conjunction with historical admission data to gauge their chances of acceptance. It also recommends alternative programs where the student may have a better chance of admission based on their rank. The chatbot also features a smart Applicant Tracking System (ATS) that assists students in evaluating their resumes. This system provides

KEYWORDS

matching suggestions based on job descriptions and generates an overview of the resume

Cite This Article

Nischitha C.B, "College Chatbot," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 2, Feb 2024. https://doi.org/10.55041/IJSREM28616

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Publication Date

12/31/45594

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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