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Model that classifies the news as Fake or Real and a complete MlOps Template for machine learning projects.

This is a production grade project which is used to classify eight different types of Skin Diseases using CNN. It is trained on top of VGG16 architecture and used MLFLOW for model versioning. It also uses DVC pipeline to automate the complete each stage of the project. Finally I have dockerized the project and Hosted In AWS using EC2 instance, ECR.

A comprehensive MLOps structure that includes the use of CI/CD pipelines, DVC, MLflow, Git workflow, and Heroku. This structure covers the complete lifecycle of machine learning operations, from continuous integration and deployment pipelines to version control with DVC, experiment tracking with MLflow, collaborative development with Git workflow,