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        <h3>How does it work?</h3>
        <p>The model is a Convolutional Neural Network (CNN) trained on the retinal images to predict the disease.</p>
        <p>Dataset used for training is MEDMNIST dataset which contains retinal images of 4 different diseases.</p>
        <p>It uses PyTorch framework for training and prediction.</p>
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        <h3>How to use?</h3>
        <p>Upload an image of the retina and click on 'Submit' to get the prediction.</p>
        <p>It will show the predicted disease based on the input image.</p>
        <p>It can predict one of the following diseases:</p>
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            <li>Choroidal Neovascularization</li>
            <li>Diabetic Macular Edema</li>
            <li>Drusen</li>
            <li>Normal</li>
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<h3>How accurate is it?</h3>
<p>The model has an accuracy of 75% on the test dataset.</p>