About DermCare
AI-Powered Dermatology Diagnostics for Improved Skin Health
Our Mission
DermCare aims to enhance accessibility to dermatological services, particularly for those in remote or underserved areas. By providing an easy-to-use and automated tool for initial skin disease assessment, we hope to improve early detection and treatment of skin conditions worldwide.
Our goal is to assist healthcare professionals in making rapid and informed diagnostic decisions while promoting greater awareness of skin health and preventive measures.
The Technology
DermCare uses advanced Convolutional Neural Networks (CNNs) to analyze skin images and identify patterns that might not be easily noticeable to the human eye. Our model has been trained on a diverse dataset of skin conditions across various skin types, ages, and ethnicities.
We use state-of-the-art computer vision techniques through OpenCV and similar Python libraries to preprocess images and improve the accuracy of our diagnostic capabilities.
Key Features
Image Analysis
Advanced image processing techniques to analyze skin conditions with high accuracy.
Detailed Reports
Comprehensive diagnostic reports with confidence scores and relevant information.
Health Resources
Access to educational resources and recommendations for further medical consultation.
Project Team
Hasin Sasmitha
Developer
Plymouth ID: 10899472
NSBM ID: 27946
Mrs. Hirushi Dilpriya
Project Supervisor
B.Sc (Hons) in Mathematics 1st class
Lecturer