Published Paper Details:

With the growing demand for personalized skincare, this project combines advancements in Artificial Intelligence (AI), dermatology, and nutrition to develop a comprehensive solution for tailored skincare recommendations. The existing system utilizes custom Convolutional Neural Network (CNN) models for basic skin condition detection, providing a foundation for personalized skincare. However, the proposed system enhances the precision of skin analysis by employing advanced CNN models, such as ResNet50, to improve accuracy in identifying various skin conditions. By integrating dermatological data with nutritional insights, the system offers highly personalized skincare routines that are specifically designed based on the user's unique skin type, condition, and dietary habits. This innovative approach bridges the gap between healthcare and AI, empowering users with actionable recommendations to optimize their skin health. By delivering personalized advice, the system not only supports skincare but also promotes a holistic understanding of how diet influences skin health, ultimately guiding users towards healthier skin through data-driven, customized care