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@article{195433,
        author = {Vijaya Kumar M and Dr. A. Vinoth},
        title = {INTELLIGENT PDF CONTENT EXTRACTOR AND QUESTION ANSWERING USING OPEN AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2432-2435},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195433},
        abstract = {As digital documents grow quickly; we need smart systems that can quickly pull out and understand information. People often use Portable Document Format (PDF) files to store both structured and unstructured data, but it is still hard to get useful information from them. This paper describes an OpenAI-powered Intelligent PDF Content Extractor and Question Answering System. The system uses Natural Language Processing (NLP) techniques and OpenAI's language models to give context-aware answers to user questions by pulling text data from PDF files. The proposed system makes documents easier to access, cuts down on the amount of work that needs to be done by hand, and lets people interact with the content of documents. The system gives accurate and quick answers, as shown by experiments. This makes it useful for use in business analytics, education, and research.},
        keywords = {PDF Extraction, Question Answering System, OpenAI, Natural Language Processing, Information Retrieval, Artificial Intelligence},
        month = {April},
        }