Gradio-based web UI for medical image interpretation using Google's MedGemma vision-language model.
Finetuning swin_large_patch4 for XRAY analysis
X-RayGuard is a deep learning system designed to detect lung diseases—specifically COVID-19, Viral Pneumonia, and Normal cases—from chest X-ray images. Built with TensorFlow and Gradio, it offers an end-to-end solution for medical image analysis, combining high accuracy with explainable AI insights.
AI-powered X-ray fracture detection using ResNet18 classification and YOLO segmentation with Streamlit interface
Flutter mobile app for X-ray pneumonia detection using deep learning. Supports VGG16, EfficientNet, InceptionV3, and ResNet50 models with real-time image analysis.
support pyXspec (in Heasarc) on jupyter with matplotlib
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