PDF-Driven Chatbots: Revolutionizing Information Retrieval and User Interaction

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PDF-Driven Chatbots: Revolutionizing Information Retrieval and User Interaction

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Create Date 27 April 2025
Last Updated 27 April 2025

PDF-Driven Chatbots: Revolutionizing Information Retrieval and User Interaction

Authors:

Prof D. B. Satre, Aneesh Khandve, Jaywardhan Tawade, Aryan Hange, Aryan Mane

Abstract: In an era where rapid access to information is paramount, the integration of chatbots with PDF documents represents a significant innovation in the field of information retrieval and user interaction, merging the power of natural language processing (NLP) with the structured complexity of PDF documents. PDF-driven chatbots leverage natural language processing (NLP) and machine learning algorithms to facilitate seamless interaction with static documents, ultimately providing users with instant access to relevant data. This paper delves into the architecture of PDF-driven chatbots, their applications, mathematical models, expected results, and prospects.

Keywords: Information Retrieval, PDF-Driven Chatbot

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