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@article{176161,
        author = {YOKESHWARAN V and SANJAY P and Ms. Vineetha Vijayan, Assistant Professor},
        title = {AI-POWERED PDF TO VOICE CONVERTER WITH SMART SUMMARY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7886-7891},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176161},
        abstract = {The increasing volume of digital documents, particularly PDFs, necessitates efficient methods for content consumption and accessibility. Traditional reading can be time-consuming and inaccessible for individuals with visual impairments. This project, titled "AI-Powered PDF to Voice Converter with Smart Summarization," addresses this challenge by developing an intelligent system that converts PDF documents into spoken audio while providing concise summaries. 
The system is built using Python, with libraries such as pdfplumber for text extraction, pyttsx3 for text-to-speech conversion, and the transformers library (facebook/bart-large-cnn model) for summarization. With a user-friendly tkinter-based GUI and threading support for responsiveness, it enables real-time interaction, word highlighting, and efficient handling of long documents. This paper presents the system design, modules, implementation, testing, and future enhancement roadmap.},
        keywords = {PDF Accessibility, Text-to-Speech, NLP, BART Model, Summarization, AI Applications},
        month = {May},
        }