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ai-medical-imaging

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Full-stack web application that uses a CNN based ResNet50 model served with Flask and a TypeScript/React frontend for real-time anemia screening. It enables users to upload nail and eye images through an interactive UI and receive AI-powered anemia classification results instantly.

  • Updated Aug 13, 2025
  • TypeScript

An AI-powered tool for pneumonia detection in chest X-rays using deep learning. Built with MobileNetV3 Small architecture, this application achieves 93% accuracy with fast inference (~45ms/image) and provides an intuitive web interface with adjustable threshold settings for balancing sensitivity and specificity.

  • Updated Mar 24, 2025
  • Python

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