Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52986
Volume:
9 |
10 |
Oct 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.
In modern academic, legal, and business settings, users frequently encounter the problem of reading extensive documents in PDF format. This problem is resolved by DocuSense AI, which powers a sophisticated web application with Generative AI, allowing users to engage with their documents using natural language queries. Built with Python, Lang Chain, and Llama 3.3, the application transforms static documents into interactive and intelligent dialogues. The system generates vector embeddings of the PDFs for quick querying, while the frontend interface is user-friendly and consists of HTML, CSS, and JavaScript. PostgreSQL is employed for secure username and password registration. DocuSense AI is tailored for students, scholars, and working professionals to enhance their comprehension and productivity. Literature reviews support the implementation of Generative AI in conjunction with semantic search and layout-aware models in the analysis of documents centred around human users. This solution changes the way documents are engaged with—making the process quicker, smarter, and more efficient.
KEYWORDS
Publication Date
11/9/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
4
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...