PREDICTIVE MODELING AND VISUALIZATION OF SKIN, HAIR AND SCALP

Smart overview of the Invention

A computer system is designed to collect and analyze health and beauty data alongside exposome values, such as sleep, pollution, and UV exposure, to generate predictive visualizations of skin, scalp, or hair conditions. These visualizations are rendered on a 3D avatar, providing users with a dynamic representation of potential changes in their appearance. The system can receive data from wearable devices and uses this information to offer personalized product or care routine recommendations.

Data Collection and Processing

The system aggregates data from various sources, including wearables and external health applications, to form comprehensive health and beauty metrics. It uses a linear model and neural network approach to process this data, which is then transformed into predictive visualizations. These visualizations reflect changes in skin, hair, and scalp conditions over time, allowing users to see potential developments based on their current health and beauty habits.

Visualization and Recommendations

Predictive visualizations are displayed as 3D avatars that illustrate user-specific conditions, such as fine lines, wrinkles, or hyperpigmentation. The system updates these visualizations over time, providing a historical and predictive view of changes. It also generates product and care routine recommendations using machine learning algorithms, helping users to mitigate potential skin and hair concerns effectively.

Technical Enhancements

The system offers technical improvements over traditional diagnostic methods by integrating and analyzing diverse data inputs for more accurate predictions. This includes enhanced diagnostic performance and more efficient application technology. Users benefit from personalized skin care coaching and treatment recommendations that go beyond typical static assessments, providing a more dynamic and customized approach to beauty and health management.

Applications and Features

The system's predictive modeling capabilities allow it to forecast the development of conditions like acne or hair damage, based on factors such as menstrual cycles and chemical exposures. Visualizations can compare potential outcomes of different products or routines, offering users a clearer understanding of the impact of their choices. This comprehensive approach ensures users receive tailored insights and recommendations, enhancing their overall beauty and health care experience.