  Cancer, in general, is very deadly. Timely treatment of any cancer is the key
to saving a life. Skin cancer is no exception. There have been thousands of
Skin Cancer cases registered per year all over the world. There have been
123,000 deadly melanoma cases detected in a single year. This huge number is
proven to be a cause of a high amount of UV rays present in the sunlight due to
the degradation of the Ozone layer. If not detected at an early stage, skin
cancer can lead to the death of the patient. Unavailability of proper resources
such as expert dermatologists, state of the art testing facilities, and quick
biopsy results have led researchers to develop a technology that can solve the
above problem. Deep Learning is one such method that has offered extraordinary
results. The Convolutional Neural Network proposed in this study out performs
every pretrained models. We trained our model on the HAM10000 dataset which
offers 10015 images belonging to 7 classes of skin disease. The model we
proposed gave an accuracy of 89%. This model can predict deadly melanoma skin
cancer with a great accuracy. Hopefully, this study can help save people's life
where there is the unavailability of proper dermatological resources by
bridging the gap using our proposed study.
