Technology-driven systems for dermatological assessment constitute a crucial field of research. In this research article we are applying artificial intelligence mainly to detect whether the person is having Melasma or not along with the comparative analysis of other diseases. If we detect whether the person is having a high risk of melasma then we will be using machines to learn to diagnose the risk of Melasma using the following factors deeper complexion shade, hormonal responsiveness to estrogen and progesterone, implying contraceptive medication, gestation, and endocrine treatments may initiate hyperpigmentation tension, thyroid gland disorder, Repeated contact with ultraviolet radiation. This approach utilizes machine learning algorithms to diagnose Melasma along with the other kind of diseases. The research primarily explores the application of artificial intelligence and neural network techniques. This review emphasizes the key challenges associated with dermatological image analysis and categorization techniques when working with limited datasets. Also, we are focusing mainly on comparison of accuracy of various algorithms.