Acne Detection Care System using Deep Learning

Millions of people worldwide suffer from acne, a common dermatological ailment that frequently causes both physical and psychological discomfort. The prevalence of acne, a common skin condition, poses a significant challenge to derma-tologists and individuals seeking effective skincare solutions. This research introduces ‘Acne Care’, an innovative system that leverages deep learning techniques and Reset18 application for the detection and personalized care of acne. This model analyse various skin abnormalities and make a severity detection system based on the classification using deep learning algorithms. This ensemble model could accurately predict the number, location, and severity of acne at the same time. It might also be a useful tool for the patient to self-test and help the doctor diagnose them. This paper presents the development, methodology, and potential impact of this model, addressing the growing need for more efficient and effective acne management. The findings of this research paper contribute to the development and advancement of deep learning based regression models to assess the severity level of acne lesions from selfie images and their management.