click here to download project abstract
People in today‘s world are busy and occupied all of the time. We often
overlook minor illnesses in our bodies as a result of our fast-paced lives. Skin disease
is one of them. It is the most widespread disease on the planet. People generally
consider dermatology problems as ephemeral, though that‘s not always the case. If
the skin disease is not appropriately recognized, it might cause serious complications.
The project‘s current models use segmentation techniques such as edge detection;
however, our study seeks to diagnose skin disorders with high accuracy rates utilizing
Deep learning. Our goal is to use CNN (convolutional neural networks) and transfer
learning from the Inception model to identify and categorize skin disorders. This
research seeks to inform victims of the potential repercussions and assist doctors in
making an initial diagnosis. This is being implemented in both a web application and
an Android application.
