This project aims to develop a system for detecting diseases in chickens using machine learning techniques. The primary focus of this project is to implement an end-to-end ML project with the concept of Continuous Integration / Continuous Delivery (CI/CD), deployed in Amazon Web Services and Azure.
- To setup the environment, command
make setup-environment
in the terminal. - To run the training pipeline, run
make run
. - To run the training pipeline with dvc, run
run-dvc
. - To run the web app, run
make run-app
- Upload a chicken fecal image and check if the chicken is healthy or possibly has coccidiosis
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