Despite a wide variety of beauty products on the market, most consumers have a hard time finding an effective skincare product that can help them address their skin problems, be it acne, dry skin, or wrinkles. The thing is that today most major skincare brands focus on making products suitable for everyone.
It emphasizes the need for a solution that would help customers get personalized skincare recommendations to choose the products that meet their needs and, thus, save time and money.
By request of one of our clients, we have created a Skin Analysis System* that has helped our Client’s business address its customers’ need for more personalized customer service and shopping experience. Our solution evaluates the skin and provides individual recommendations for skincare products using computer vision, machine learning, and neural networks.
The user uploads a well-lit selfie to the app, the software thoroughly analyses the photo by 5 main face areas: forehead, eyes, cheeks (upper/lower cheek), lips, and neck. Then it identifies skin problems, such as acne, dark spots, enlarged pores, wrinkles, fine lines, crow’s feet, dark circles, skin roughness, etc., and determines overall skin tone. Based on the results, the Skin Analysis System provides personalized recommendations for building a custom skincare routine and choosing the right beauty products to meet the user’s needs.
* This is a custom solution we have developed for the specific needs of a particular Client. Does it look like it may be a good fit for you? Contact us, and we’ll build a custom solution tailored specifically to your business needs.