Created a tool that easily classify the cat and dog images The aim of this project is to build a machine learning model that can accurately classify images of dogs and cats. The model is trained on a dataset of labeled images of dogs and cats, with transfer learning on VGG16 imagenet dataset. and will be able to predict the correct label for new images. It help’s the viewers to easily classifiy Cat and Dog with 90% accuracy Deployed this Project for Internship(at Ineuro.ai) (as Freasher) Built a client facing API using streamlit

1. Update config.yaml
2. Update secrets.yaml [Optional]
3. Update params.yaml
4. Update the entity
5. Update the configuration manager in src config.
6. Update the components
7. Update the pipeline
8. Test run pipeline stage
9. run tox for testing your package
10. Update the dvc.yaml
11. run “dvc repro” for running all the stages in pipeline

Link To the GitHub Repository

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