Abstract
The usage of AI in healthcare has proven to be a significant challenge to global health due to the widespread presence of skin diseases, and the early identification and intervention when such cases are detected cannot be over stressed. Skincare.ai uses advanced artificial intelligence and machine learning capabilities that make such identification accessible. Such identification is possible through the use of the resource from its application, individuals can take or upload photos of their skin issues which are then analyzed by advanced machine learning models to identify the disease accurately. This paper is an exploration of how Skincare.ai was made, the capability of such a system, and the impact. It features its main aim: AI-powered skin analysis, smooth consultation with healthcare professionals, and suggestions automatically provided via the SkinBot assistant. Skincare.ai claims to save and improve lives through the diagnosis and advancement of an active approach in skin health. The Skincare.ai organization’s ultimate aim is to empower users and build a community that creates awareness on skin health through the reduction of burden on healthcare systems and proper timely medical interventions. The present study investigates the technology behind Skincare.ai, its clinical importance, and how it may change skin disease management in the wake of early detection and patient empowerment.
Keywords: AI Techniques, Dermatology, Skin Disease, Skincare.ai Model.