SMART DERMA: MOBILE APPLICATION FOR SKIN-DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK

Skin disease is an emergent public health problem worldwide, particularly in developing countries where
healthcare access is limited. To address these challenges, the rapid advancement in Artificial Intelligence (AI) and
Machine Learning (ML) technologies has introduced new opportunities to improve healthcare access and
diagnostic potential. This study of Smart Derma: Mobile Application for Skin-Disease Detection Using
Convolutional Neural Network (CNN) aims to address the growing need for accessible and reliable tools in
dermatological self-assessment. This is a mobile application for skin disease detection using Convolutional Neural
Network that will assist the users for detecting possible skin diseases through image-based analysis. It was
conducted as a developmental approach at Gat Andres Bonifacio Memorial Medical Center and Justice Jose Abad
Santos General Hospital and was assessed by professionals, patients, and students to evaluate its usability and
reliability. However, Smart Derma mobile application is not a substitute for dermatologists but an adjunct, initial
screening device to identify potential skin conditions. The study yielded both favorable and unfavorable outcomes
that will help students, patients, healthcare providers and future proponents while further validation and
improvement remain essential in continuing these studies.