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Website for Predicting whether the person is infected with malaria or not by checking the body cells

mohantyrohan3-malaria-detection--app-j8fsaw.streamlit.app/

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
models/{1}		models/{1}
Malaria Detection.ipynb		Malaria Detection.ipynb
Parasitized.png		Parasitized.png
README.md		README.md
app.py		app.py
requirements.txt		requirements.txt
uninfected.png		uninfected.png

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Malaria Detection

Check out Video here

Streamlit.-.Google.Chrome.2022-11-20.21-19-26.mp4

This is a malaria prediction image classification project where I created a cnn model from scratch where I could a accuracy of about 96 percent

To check the model building check Malaria Detection.ipynb

I made a web app using Streamlit library and also deployed the model on streamlit cloud Link Here (It takes some time to load depending upon the internet connection)

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Website for Predicting whether the person is infected with malaria or not by checking the body cells

mohantyrohan3-malaria-detection--app-j8fsaw.streamlit.app/

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