Deep Learning-Powered Mobile Application For Early Skin Cancer Detection

This research work presents the development and implementation of a skin scan app utilizing deep learning technologies. The aim is to provide users with a convenient and accessible tool for skin analysis to reduce the reliance on traditional dermatological solutions. After extensive exploration of different deep learning techniques, an efficient and accurate model, EffecientNetB0V2 was identified as the most suitable model and trained using the HAM10000 skin cancer dataset. The developed models were then integrated into a user-friendly flutter application called “SkinKo” that is fully developed from scratch, and designed to offer an intuitive and seamless experience for users. This research not only showcases the technical aspects of developing such an application but also focuses on the potential impact on the healthcare community. By offering an “in-pocket dermatologist” This application has the potential to empower users to monitor their skin health more effectively and seek timely medical attention when necessary.