Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification

Links to datasets used:

1. Plant disease dataset: https://www.kaggle.com/vipoooool/new-plant-diseases-dataset
   
2. Brain tumor dataset: https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection
   

Teachable Machine.

An amazing online tool that allows one to train and download an image, sound or pose classifier.
Checkout the repo under the screenshots folder of the tool in action.
Link: https://teachablemachine.withgoogle.com/