AI-POWERED SKIN CANCER DETECTION

Supporting Early Awareness Through Machine Learning

Skin cancer is one of the most common and potentially fatal cancers worldwide, making early detection especially important. This project aims to develop an accessible mobile application that uses machine learning to analyze skin lesion images and provide preliminary real-time predictions of whether a lesion may be benign or malignant. The app is also intended to help users monitor changes in their skin health over time while encouraging appropriate medical consultation when needed.

Meet the Project Team
Application Concept

Skin Lesion Analysis

Skin Lesion Image
AI Analysis Complete
Preliminary Result Benign
Prediction Confidence
Example Visualization

Concept interface only — not a medical diagnosis.

Team Members

Neva Ildem - zildem2023@my.fit.edu

Sophia Zubieta - szubieta2023@my.fit.edu

Samuel Borges - borgess2023@my.fit.edu

Elif Dila Bayrak - ebayrak2025@my.fit.edu

Faculty Advisor

Dr. Zahra Nematzadeh

For additional questions or information about the project, please feel free to contact a team member or the faculty advisor.

Faculty Advisor

Milestones

Click the "View Project Milestones" button to view all project planning and milestone documentation.

View Project Milestones