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GRENZE International Journal of Engineering and Technology Vol. 10 (2024), Issue 2

Enhancing Dermatological Diagnosis: A Novel Skin Disease Prediction Web Application with Ensemble Learning

Authors

Y Venkata Krishna Vivek, Krishnaprasad T R

Abstract

SkinSavvy AI revolutionizes skin health assessment with advanced AI technology. It combines powerful image analysis using convolutional neural networks (CNNs) with natural language processing for a comprehensive dermatological solution. At its core, SkinSavvy AI utilizes a sophisticated CNN ensemble model, blending ResNet, EfficientNet, and VGG16 architectures to accurately classify a wide range of skin diseases. With an ensemble model that diagnoses common conditions like Dermatofibroma to serious ones like Melanoma, SkinSavvy AI achieves an impressive accuracy of 92.18% across 8 diseases, surpassing existing models limited to 2-3 conditions. Beyond diagnosis, SkinSavvy AI offers a user-friendly interface for image uploads, doctor appointment booking, and an informative chatbot for patient education. This AI solution not only provides accurate diagnoses but also streamlines patient-doctor interaction and promotes skin health awareness.

Pages: 1292 - 1299