Deep Learning for Facial Skin Issues Detection

Abstract

Facial skin problems can have a profound impact on an individual's self-esteem and mental well-being, sometimes leading to depression. Early detection and treatment of these conditions are crucial for effective intervention. This system uses advanced techniques such as CNN, deep CNN with random forest, and random forest algorithms. The proposed system offers a potential pre-diagnostic tool, enabling individuals to assess their facial conditions before consulting a dermatologist. By providing an early checkup, the system aims to improve the overall quality of dermatological care and outcomes for patients. Through this project, the authors aspire to empower individuals to take control of their skin health and well-being. This research represents a significant step towards revolutionizing the field of dermatology, bridging the gap between technology and patient care. By leveraging the insights gained from facial skin problem detection, the authors strive to create a future where no individual suffers in silence, but instead embraces a life free from the constraints of skin troubles.