International Journal on Science and Technology

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Document Querying Web Application

Author(s) Nandini Kolhe, Yojna Mankar, Pranjali Thakur, Dr. Pankaj Singh Sisodiya
Country India
Abstract Document querying is a crucial process for efficiently retrieving relevant information from vast digital document repositories. This paper presents DocQ, an AI-powered web application designed to enhance document analysis and retrieval. By leveraging Natural Language Processing (NLP) and Artificial intelligence (AI), DocQ provides users with an interactive interface for querying and extracting information in natural language. This study explores the architecture, methodologies, and technological advancements that make document querying more efficient, user-friendly, and scalable.
Keywords Document Querying, Web Application, Natural Language Processing, Machine Learning, Document Management, Unstructured Data, Search Algorithms
Field Engineering
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-23
Cite This Document Querying Web Application - Nandini Kolhe, Yojna Mankar, Pranjali Thakur, Dr. Pankaj Singh Sisodiya - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2867
DOI https://doi.org/10.71097/IJSAT.v16.i1.2867
Short DOI https://doi.org/g892cw
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