A web application that classifies between malaria and non malaria infected cell trained using a resnet50 model using keras.
Achieves 95% validation accuracy ,uses streamlit backend and is deployed using streamlit deploy.
The data used is the malaria dataset from kaggle:-
dataset link
To run the code, please run build_dataset.py which automatically generates training, testing and validation data. Then proceed to the jupyter file.
Click on the link given below
malaria app
Just upload ur cell image and the app will automatically classify.
