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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.
This repository holds all the project files belongs to a Kidney diesease classification application which takes x-rays images and classify the image as dieseased or healthy by using Deep learning CNN classification techniques.
This project contains the production ready Machine Learning solution to make the prediction on the batch of data coming from Air Pressure system (APS) sensors