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Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
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Pregcare Record Analysis Based on BERT and Anticipatory Computing: A Review
Abstract: Development of a sophisticated Medical Pregnancy Care chatbot leveraging state- of-the-art Natural Language Processing (NLP) techniques, specifically the BERT framework. The chatbot offers a seamless user experience with two key functionalities: patient registration and comprehensive medical report generation. New users are prompted to register, providing essential personal details, and subsequently prompted to fill detailed medical reports, ranging from the 1st to the 9th month of pregnancy. The system employs anticipatory …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 1, 2024 · pp. 27–35 Read article