AI Driven Skin Disease Diagnosis and Classification

The “AI-Driven Skin Disease Diagnosis and Classification” framework is a powerful.      example of successful implementation of deep learning in dermatology and development. of efficient healthcare technology. By using object-oriented morphological feature extraction via CNNs instead of. purely subjective visual inspection, the proposed system exhibits high sensitivity. in recognizing complicated diseases like melanoma and eczema. The robust nature of the system's preprocessing methods, combined with data augmentation,  enables.     accurate classification regardless of the variations in the patient's skin color and environmental conditions, while the. web architecture provides flexibility in using the model outside the confines of the clinical environment. The proposed system serves as an intelligent diagnostic. aid, providing doctors with assistance in faster and consistent diagnosis while. minimizing the impact of any. potential biases on their judgment. In addition, the relatively small size of the software allows for convenient use in telemedicine services, especially in remote and underserved areas where proper medical facilities may not be available. This project is 60% accuracy.  

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