Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43414
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.
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
Publication Date
3/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...