An Automated approach to detect & diagnosis the type of Cosmetic Skin & its Disease using Machine Learning

Dermatological illnesses are the most serious problem in the twenty-first century, owing to a lack of awareness and the high cost of diagnosis. To address the issue, we believe that automated methods-based applications will be extremely beneficial in the early stages of diagnosis. As a result, in this research, we describe an automated approach for identifying the kind of cosmetic skin and cosmetic skin condition from photographs. Our model is created utilizing machine learning methods. The model consists of three phases: data gathering and data augmentation, features extraction, and prediction.