Researchers at Novosibirsk State University have developed an application that uses computer vision technology to analyze skin condition in real-time and provide skincare recommendations.
We see a serious problem in the market where women can't decide which products to use, which ones are effective, and whether they help over time. We found a suitable dataset and skin condition models in the public domain, based on which we trained our application to recognize skin conditions.
The application is based on machine learning technology. The developers claim that the interface allows users to assess skin condition and recognize signs of various problems: acne, psoriasis, eczema, warts, and ringworm.
If the application finds that your skin is in good condition, it will provide you with recommendations for further care and advise you to use sunscreen, the developer explained. In case of any abnormalities in the skin condition, the application will advise you to consult a specialist for a more in-depth analysis and resolution of the problem, as the developer explains.
The application works by the user granting access to their smartphone's camera and turning their face to the screen. After a few minutes, the answer appears on the display.
The developers plan to expand the list of skin conditions that the application can recognize, as well as add care recommendations.
Earlier, scientists from Penza State University created a web application that allows diagnosing coronavirus pneumonia using X-rays of the chest, without resorting to computed tomography.
Read more on the topic:
AI on guard of health: NSU launches a project to analyze tomography for cancer diagnosis
A method for diagnosing malignant tumors has been developed in Veliky Novgorod