DR is a disorder that results in vision loss when high blood sugar levels damage the blood vessels in the retina. We built a Dynamic Convolutional Attention (DCA) based Resnet50 model to classify the severity of DR. The model was trained on the Kaggle dataset and achieved an accuracy of 0.79. The model was deployed using FastAPI and the frontend was built using React.
To install all the required libraries run the following command.
pip install requirements.txt
To install tailwind & other packages, run the following command
npm install
Use your own API key and config in the firebase.js file.
Run both frontend and backend in different terminals.
React frontend command:
npm start
fastapi backend command:
uvicorn main:app --reload
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