BRAINY is a webapp that classifies MRI images of the brain to detect the type of brain tumor a patient has. The webapp uses ensemble machine learning, specifically majority voting. It utilizes five models to determine the final result: EfficientNetB1, EfficientNetB1+LSTM, InceptionV3, ResNet, and VGG16.
BRAINY is equipped with several features including:
- Authentication
- MRI Classification
- User History
to start developmenet with Tailwind , make sure to run it with runserver
npm install tailwindcss cross-env postcss-import postcss-simple-vars postcss-nested flowbite @tailwindcss/typography @tailwindcss/aspect-ratio --save-dev
pip install -r requirement.txt
to run the server
python manage.py runserver
Run Tailwind CSS
python manage.py tailwind start
Models link:
https://drive.google.com/drive/folders/1_5oMUmwwQRvEs_ICWAonNplaTB7WO34Z?usp=sharing
~\brainproject
~\brainproject #project Settings
~\brainy #Main Application
~\static
~\templates
~\media #The models saved here
~\theme
~\static_src #tailwind Configuration
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