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SkinNet Analyzer: A Deep Learning-Based Skin Disease Detection System

  • Unique Paper ID: 174480
  • Volume: 11
  • Issue: 10
  • PageNo: 4437-4439
  • Abstract:
  • Skin diseases affect millions worldwide, requiring timely diagnosis and effective treatment. Traditional methods rely on dermatologists, which may not be accessible, especially in remote areas with limited healthcare facilities. SkinNet Analyzer is a deep learning-based classification system using EfficientNet, ResNet, and MobileNet to enhance diagnostic accuracy. It integrates symptom-based confirmation and severity estimation, along with an AI chatbot for patient engagement and personalized recommendations. Experimental results demonstrate an accuracy of 86.7%, showcasing its potential in clinical and telemedicine applications. Future improvements include dataset expansion, real-time deployment, and enhanced model interpretability.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 4437-4439

SkinNet Analyzer: A Deep Learning-Based Skin Disease Detection System

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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