<ul><li>This innovative project leverages cutting-edge Natural Language Processing (NLP) techniques to automate the extraction and organization of data from medical PDF reports.</li><li>The impact of this project spans across various domains.</li><li>The system currently achieves 85% accuracy — an impressive benchmark for a zero-shot classification model that doesn’t require task-specific training.</li><li>Future plans include integrating Optical Character Recognition (OCR) for image-based text extraction and fine-tuning the model with domain-specific datasets to improve accuracy.</li></ul>

Revolutionizing Healthcare: AI-Powered Medical Report Analysis and Classification

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