PDF Assistant Using AI
Sayali Manoj Patil Disha Paresh Patil
Department of Information Technology Department of Information Technology
K. K. Wagh Polytechnic, Nashik, India K. K. Wagh Polytechnic, Nashik, India
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Abstract - The AI PDF Assistant is an advanced document-processing application designed to transform the way users interact with digital text. By leveraging state-of-the-art artificial intelligence and natural language processing (NLP) technologies, this assistant allows users to upload PDF or Word documents and interactively query the content. When a user prompts the assistant with questions, it does not retrieve exact lines or direct quotations from the document. Instead, it generates a cohesive summary of relevant information, using AI-based synthesis to convey the essence of the content in response to the user's question. This approach is powered by ChatGPT, which helps interpret and rephrase the information, ensuring responses are concise, contextually relevant, and tailored to the user’s query.
The assistant also includes a voice interaction capability, enabling users to submit questions or commands verbally. This feature enhances accessibility, particularly for users who prefer or require hands-free operation. Additionally, the AI PDF Assistant includes a summarization tool, allowing users to obtain a brief overview of lengthy documents without manually reading through every detail. This capability is especially beneficial for students, professionals, and researchers who need quick comprehension of document content within limited timeframes.
Overall, the AI PDF Assistant provides a user-centric approach to document handling, focusing on summarization and contextually relevant responses rather than direct extraction. Its unique blend of voice and summarization features, alongside AI-driven content synthesis, positions it as an indispensable tool for efficient, intuitive, and accessible document management.
Key Words: AI PDF Assistant, Document Interaction, Natural Language Processing (NLP), Contextual Summarization, Voice Interaction, Document Summarization, Context based question and answer
