Anh-Thu T. Chau,Duc-Man Nguyen,Nghia-Khue Hoang,M. N. Phan,Phuoc-An Dong,K. Tran
标识
DOI:10.1007/978-3-031-47359-3_10
摘要
The demand for skincare solutions has grown significantly in recent years, with individuals of all genders seeking ways to maintain healthy and beautiful facial skin. However, environmental pollutants, stress, and hormonal changes can negatively impact the skin, leading to issues like acne and dark spots. To address these concerns, we have developed FaSkare, an intelligent facial skin condition detection system. FaSkare utilizes advanced technologies, including FastAI and deep learning, to analyze and accurately predict users' facial skin conditions. By understanding the precise condition of their skin, users can receive personalized recommendations for suitable skincare services and cosmetics. The system is designed to be practical and effective, capable of being applied in various conditions. Experimental results demonstrate the practicality and effectiveness of FaSkare in analyzing facial skin conditions and providing tailored solutions. The system's user-friendly website platform ensures ease of use and accessibility for individuals seeking skincare advice. By leveraging the power of data and machine learning, FaSkare aims to bridge the gap between beauty awareness and accessible skincare solutions.