ODS - Ophthalmic Disease Screening

ODS (Ophthalmic Disease Screening) is a cutting-edge application that uses deep learning models to analyze fundus images and predict common eye diseases such as diabetes, cataract, and glaucoma. The project is implemented using React.js for the frontend and utilizes VGG19 and ResNet model architectures for accurate disease predictions. The model is deployed on Azure and served as an endpoint in the React.js application.

Links

• Demo: ODS Web App
• Endpoint: Azure Endpoint

Usage

1. Visit the ODS Web App to access the application.

2. Upload a fundus image using the "Choose File" button on the homepage.

3. Once you click the "Upload image" button to initiate the disease prediction process.

4. View the prediction results, which will indicate the presence of diabetic retinopathy, cataract, and glaucoma.

Contributing

We welcome contributions to the ODS project. To contribute:

1. Fork the repository and clone it locally.

2. Create a new branch for your feature or bug fix.

3. Make your changes and commit them.

4. Push your changes to your fork.

5. Submit a pull request with a clear description of your changes and their purpose.