Work

Document Querying Web Application

Year: 2025

Type: article

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.

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i1.2867

Authors: Nandini Kolhe -, Yojna Mankar -, Pranjali Thakur -, Dr. Pankaj Singh Sisodiya -

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408885491

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