College
College of Engineering and Polymer Science
Date of Last Revision
2025-12-11 06:49:30
Major
Computer Science
Honors Course
498-002
Number of Credits
3
Degree Name
Bachelor of Science in Computer Science
Date of Expected Graduation
Fall 2025
Abstract
SkinRisk AI is an exploration of the opportunities for implementing machine learning (ML) and artificial intelligence (AI) in the medical technology field, specifically in the early detection of skin cancer. This project presents the design, development, and evaluation of a mobile application that allows users to capture images of skin lesions and receive a machine learning assisted risk assessment. The system combines a convolutional neural network (CNN) for image analysis with an intuitive mobile app built using Flutter, FastAPI, and Supabase to deliver real time screening.
Motivated by the rising skin cancer rates and importance of early detection, SkinRisk AI aims to improve healthcare accessibility, raise awareness, and educate users on the importance of seeking professional medical attention. Although this is not meant to be a diagnostic tool, the project demonstrates how modern AI and ML systems can assist individuals in monitoring their skin health and serves as an example for other applications of ML in medical contexts.
Research Sponsor
Zhong-Hui Duan
First Reader
En Cheng
Second Reader
Michael L. Collard
Honors Faculty Advisor
Zhong-Hui Duan
Proprietary and/or Confidential Information
No
Recommended Citation
Simms, Spencer, "SkinRisk AI" (2025). Williams Honors College, Honors Research Projects. 2065.
https://ideaexchange.uakron.edu/honors_research_projects/2065
Included in
Artificial Intelligence and Robotics Commons, Skin and Connective Tissue Diseases Commons, Software Engineering Commons