AI Based Skin Disease Classification Using Deep Learning

This study uses the state-of-the-art convolutional neural network architecture of the Efficient Net algorithm to propose an innovative approach to skin disease classification. Based on its exceptional efficacy and efficiency in managing extensive picture datasets, our model exhibits exceptional precision in differentiating between different skin conditions, contributing to prompt and precise diagnosis. We achieved findings with excellent recall rates and precision by conducting extensive trials on a diversified sample. Our method not only improves diagnosis but also has the potential to be integrated into telemedicine systems, which would facilitate healthcare services and increase the accessibility of professional diagnosis for people living in disadvantaged areas.