Dermatological illnesses are caused by flaws in the skin's components or layers. It has targeted individuals of various ages, genders, races, socioeconomic statuses, and backgrounds. When health priorities are established, skin disorders are often seen as minor players compared to the worldwide league of illnesses that cause significant mortality, such as HIV/AIDS, community-acquired pneumonia, and TB. On the other hand, skin issues are among the most often seen illnesses in tropical primary care settings (such as India). In this work, I want to eradicate the practice of overlooking minor skin deformities as they may be the symptoms of something severe. Because ignoring a small red inflation spot on your chin may be okay, as it may be Acne, which does -practically- no harm to your body, but ignoring an ununiform black mole may be the biggest mistake of your life as there is a significant possibility that it may be the cause of Melanoma- the most severe type of skin cancer. This work gives the overall review of skin issues by predicting them using the machine learning (ML) approach.