DocuSense AI: Document AI conversational platform using GenAI.

Abstract 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-Generative AI, Llama 3.3, Lang Chain, PDF Querying, Natural Language Processing, Document Summarization, AI Chatbot, Document Interaction.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-10-11
DOI
https://doi.org/10.55041/ijsrem52986
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

DocuSense AI: Document AI conversational platform using GenAI.

Jyoti Madake, Abhijeet Kamble, Kritika Raina
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI in Service Interactions
article

DocuSense AI: Document AI conversational platform using GenAI.

Jyoti Madake, Abhijeet Kamble, Kritika Raina
article en

Abstract

Abstract 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-Generative AI, Llama 3.3, Lang Chain, PDF Querying, Natural Language Processing, Document Summarization, AI Chatbot, Document Interaction.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(10)
International Institute of Information Technology (IN)
Openalex Percentile: Top 85%
AI in Service Interactions
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DocuSense AI: Document AI conversational platform using GenAI. — Jyoti Madake, Abhijeet Kamble, et al. · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS