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Designed a UNet-based model for tumor segmentation in MRI images, achieving an average IoU/DICE score of 98.823 by leveraging a U-shaped architecture for precise size and location determination. /Integrated a virtual assistant to respond to specific biology-related questions and provide real-time assistance.

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