jatin-12-2002/Chest-Disease-Classification-Final-Version
An MLOps-powered pipeline for chest disease classification from CT scans using ResNet50, achieving 89.52% accuracy. Includes data versioning with DVC, experiment tracking with MLflow, automated model evaluation, and scalable deployment via Flask API and Docker.
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Apr 08, 2024
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