A skin classification project achieving an accuracy of 80%. The project effectively categorizes skin types based on specific criteria.
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An AI-powered skin condition detection system using YOLO, Roboflow, and OpenCV. The model accurately identifies common skin issues like wrinkles, pigmentation, acne, and more with 80% accuracy. Ideal for dermatological screening, this tool brings fast, accessible skin analysis using real-time object detection.
thendralmagudapathi/Skin-Health-Classifier
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An AI-powered skin condition detection system using YOLO, Roboflow, and OpenCV. The model accurately identifies common skin issues like wrinkles, pigmentation, acne, and more with 80% accuracy. Ideal for dermatological screening, this tool brings fast, accessible skin analysis using real-time object detection.
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