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@article{189870,
        author = {Barku Yashwant Pilena},
        title = {Smart AI PDF Note Taker Tools},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {8},
        pages = {187-189},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189870},
        abstract = {In today’s digital world, students and professionals deal with a large amount of PDF-based reading material, which makes it challenging to extract and summarize important points efficiently. This project aims to build an AI-Based PDF Note Taker System that can automatically extract key information from PDF documents, highlight important sections, and provide concise notes to improve productivity and learning. 
In educational, corporate, and research environments, users often receive lengthy PDF files containing reports, academic papers, presentations, or manuals. Reading the entire document and highlighting important points manually can be tedious and inefficient. By leveraging Artificial Intelligence, particularly Natural Language Processing, this project aims to automatically analyse PDF content and generate structured, easy-to-understand notes. This solution enhances productivity and learning by offering faster access to relevant information.},
        keywords = {},
        month = {December},
        }