A major public health issue on a global scale is skin cancer. During the early stages, a small percentage of skin malignancies resemble typical moles but eventually develop into deadly cancer. Dermatologist may occasionally need a biopsy to diagnose the issue, which is a time-consuming and painful treatment. Using cutting-edge deep learning and CNN models can detect and categorise skin malignancies using skin lesion pictures, which solves the problem of most rural areas of the world being inaccessible to skin experts to do biopsy. In-depth analysis of more modern, accurate methods for early skin cancer detection is provided in this publication.