Abstract
Abstract: As digital content grows, quality data management and solutions are needed. This work presents a unique application (chatbot PDF reader) designed to improve users' interaction and experience with PDF documents. Through interactive communication, the chatbot allows users to use machine learning and natural language processing (NLP) to process PDF files. Users can ask questions, get details, extract specific files, and browse PDFs through simple queries. Chatbots use cognitive and text-based technologies to provide clear and relevant responses, improve accessibility, and understand information. The PDF reader chatbot app hopes to improve accessibility and productivity for users across multiple platforms by simplifying information retrieval, understanding, and navigation. This project is designed to create a new PDF reader chatbot that uses NLP and machine learning to improve user interaction with PDFs. Information. The goal is to improve the user experience by using commands to search for files, extract them, and annotate PDFs. Our goal is to make information more accessible, to be remembered and understood faster, and to make customers more productive.
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