1. An integrated document manipulation tool leveraging LLMs, transformers, and attention mechanism.
- Author
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Arthi, B., Shukla, Aditya, and Ravi, Pooja
- Subjects
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OPTICAL character recognition , *TEXT recognition , *TRANSFORMER models , *TEXT summarization , *IMAGE segmentation , *RESEARCH personnel - Abstract
Individuals in Academia have a critical requirement for several handy tools to facilitate learning, pedagogy, and collaboration. Offering frequently needed tools in one integrated destination to students, researchers, and professors alike can help fulfill this requirement. We propose the usage of state-of-the-art language and vision models to deploy this as a user interface containing three modules: technical text summarization, optical character recognition (OCR), and text-to-audio. The first module generates an effective summary, a set of keywords, and recommends similar publications. The second module splits any uploaded PDF into its constituent pages, parses the lines of text on them with image segmentation models, and outputs the text recognized using transformer architecture for further processing. Finally, the third module takes in a body of text and generates an audio file with user-set customizability. These modules work sequentially to provide an all-in-one streamlined solution to academics working with textual manuscripts. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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