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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40985
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In today’s fast-paced digital landscape, the sheer volume of information in PDF documents can be overwhelming and time-consuming to process. This presentation introduces an innovative system that leverages natural language processing (NLP) and voice-assistive technology to create a comprehensive PDF summarizer equipped with a voice assistant. The system not only extracts key points from lengthy PDFs, condensing them into easily digestible summaries, but also features a language-changing option that allows users to select their preferred language for both text and audio output. Users can listen to these summaries read aloud through the voice assistant, ensuring a hands-free and efficient way to stay informed. This technology is especially beneficial for professionals, students, and researchers who require quick insights without the need to read entire documents. Key features include: – Automatic text extraction and summarization. – Customizable summary lengths tailored to user preferences. – Integration with voice assistants for real-time, audible summaries. – Language selection for both text and audio output, accommodating diverse user needs. – Versatile applications across education, business, and research sectors.
KEYWORDS
Publication Date
1/21/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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