The application utilizes Convolutional Neural Networks (CNNs) architecture to examine images, playing a crucial role in our skin disease prediction system. CNNs are particularly effective at discerning intricate patterns and features within images, making them highly suitable for detecting subtle visual indicators in skin lesions.

The app serves as a predictor. Please consult with doctor before treating.

Based on Convolutional Neural Networks (CNNs) architecture

"Turning a Negative Experience into Positive Change" In the face of challenges, innovation can emerge that transforms negative experiences into powerful catalysts for positive change. The unfortunate incident of a person being falsely predicted and administered cancer drugs for years serves as a stark reminder of the critical responsibility that rests upon those venturing into the field of medical technology. While such an incident highlights the potential risks of inaccurate predictions, it also underscores the urgency to develop ethical and accurate solutions in skin disease prediction. Hence building a skin disease prediction application can be a valuable contribution to the field of healthcare and dermatology. Such an application could help individuals identify potential skin issues early on and encourage them to seek professional medical advice.