Derma Tech: Leveraging Machine Learning for Smart Skin Disease Diagnosis and Personalized Treatment Solutions

Muhammed Faisal, Jogimol Joseph

Abstract: DermaTech is a project focuses on creating an advanced system that leverages machine learning (ML) techniques to revolutionize skin disease detection and treatment recommendation processes. By collecting an extensive dataset comprising images of various skin conditions, the system employs a Convolutional Neural Network (CNN) model for highly accurate disease identification. Once the condition is detected, the system suggests appropriate remedies tailored to the diagnosed disease, enhancing the precision and effectiveness of care. This innovative solution integrates cutting-edge ML methodologies with practical healthcare applications, aiming to address challenges in both diagnosis and treatment.

Keywords: Machine learning, Convolutional Neural Network, Flutter, Firebase