Date of Publication :25th July 2024

Abstract: Facial skin problems encompass a range of conditions, including acne, rosacea, eczema, psoriasis, dry skin, wrinkles, hyperpigmentation, allergic reactions, and skin cancer. These issues can result from various factors such as genetics, environment, and lifestyle. Proper skincare, avoiding triggers, and seeking medical advice when needed are essential for managing such problems. A dermatologist can help diagnose the specific condition and recommend personalized treatment options for optimal skin health. Inception v3, a deep learning model designed for image recognition, is considered for detecting facial skin diseases due to its ability to recognize complex features, support transfer learning, deep architecture for hierarchical feature representation, strong community support, and demonstrated state of-the-art performance in image classification tasks. With an accuracy of 89.24%, its versatility makes it suitable for adapting to the specific task of facial skin problem detection. However, the choice of the model depends on factors such as the dataset, problem nature, and computational resources. It should be part of a comprehensive system involving clinical validation and collaboration with healthcare professionals for accurate diagnosis and treatment.

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