opelliusai/radio-mlops

RADIO-MLOps is a chest-radiograph diagnosis and model-lifecycle application. Users submit images for predictions, review their analyses, and contribute corrected labels; administrators manage datasets and models and inspect performance and drift. The documented data lifecycle brings Kaggle and production data into reference datasets for training, while MLflow tracks and serves model versions. Airflow schedules health checks, deployment, and drift jobs; Prometheus and Grafana support service monitoring. The graph follows documented capabilities and sampled call paths; unsampled API and monitoring implementations are represented only at their documented boundaries.