AI-Powered Chest X-ray Diagnostic Tool – Data Labeler and Model Trainer
Built and deployed an AI-powered chest X-ray diagnostic tool utilizing computer vision techniques for respiratory abnormality detection. Labeled and validated X-ray images to train and test the computer vision model for clinical applications. Executed rigorous QC on data labeling for accuracy in real-world radiographic diagnosis. • Labeled chest X-ray images for identification of disease markers. • Employed Gradio and HuggingFace platforms for the annotation workflow. • Implemented validation protocols in the data labeling pipeline for model training. • Focused on real-world applicability and precision in AI-powered radiograph labeling.