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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43414

Gen-AI Based Chatbot on Top of Llama for SSR Documents

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43414

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43414

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

DS

Devanshu Shekhawat#1

AM

Anjali Mishra#2

AS

Anjali Singh#3

AS

Aaryan Singh#

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Abstract

Data Institutions generate vast amounts of information, making efficient access challenging. The proposed institutional chatbot integrates Llama, a conversational AI, into the institution’s website to provide real-time access to Self- Study Reports (SSR) and other documents. Using natural language processing (NLP), the chatbot streamlines communication, minimizes manual searches, and enhances transparency and accessibility. By leveraging machine learning, it interprets queries, retrieves relevant data, and generates human-like responses. A feedback loop ensures continuous learning, while Llama’s scalability enables accurate responses to complex queries. This AI-driven system modernizes institutional knowledge management and improves efficiency.

KEYWORDS

Data Institutional chatbot Llama natural language processing (NLP) Self-Study Reports (SSR) machine learning information retrieval feedback loop knowledge management.

Cite This Article

Devanshu Shekhawat#1, Anjali Mishra#2, Anjali Singh#3, Aaryan Singh#, "Gen-AI Based Chatbot on Top of Llama for SSR Documents," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43414

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Publication Date

3/31/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Copyright Form (Office)

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5

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

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