DESIGN AND IMPLEMENTATION OF A FRAMEWORK FOR AN ACCURATE ANALYSIS OF SKIN LESION TO EARLY PREDICTION OF CANCER RISK USING AI

The Skin Cancer Detection and Classification System using Machine Learning and Deep Learning provides an efficient and accurate solution for identifying skin diseases from medical images. By combining image preprocessing, segmentation, and deep learning models, the system improves diagnostic accuracy, reduces manual effort, and supports early disease detection. The user-friendly and AI-driven approach makes the system suitable for real-time healthcare and telemedicine applications, especially in areas with limited access to dermatologists.

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