Mobile Application for Skin Cancer Detection

Student: Suleiman Abubakar (Project, 2025)
Department of Computer Science and Informatics
Kaduna State University, Kaduna, Kaduna State

Abstract

This project presents the development and implementation of mobile app for skin cancer detection and machine learning algorithm to detect skin cancer from images of skin lesions. Users can upload images of suspicious moles or lesions, and the app provides an instant assessment of the likelihood of skin cancer. The app’s accuracy is trained on a large dataset of labeled images, and it’s performance continuosly improved through user feedback and data analysis. By enabling early detection and prompt medical attention , this app has the potential to improve skin cancer outcomes and save lives. It’s user-friendly interface and accessibility make it a valuable tool for individuals, healthcare professionals and dermatologist alike.

Keywords
Skin cancer detection mobile application machine learning Flutter app deep learning CNN model medical imaging healthcare technology early cancer detection.
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