Skin cancer ranks among the worst types of disease. For skin cancer to occur, there must be a mutation in the skin’s genetic material or a flaw in the DNA of skin cells. The importance of early skin cancer detection cannot be overstated since it can spread to other parts of the body and thus be less treatable later. It is important to recognize early warning signs of skin cancer because it is prevalent, has a high mortality rate, and is expensive to treat. Considering the gravity of these concerns, scientists have devised a number of methods for detecting skin cancer in its earliest stages. Skin cancer may be detected and classified as either benign or malignant based on several lesion factors, including but not limited to symmetry, color, size, form, etc. This study provides a comprehensive overview of AI methods for spotting skin cancer in its earliest stages. High-quality research publications on skin cancer diagnostics were reviewed. Tools, graphs, tables, methods, and frameworks portray research findings.