Modulation of coloring formulation components for hair coloring device

A computer-implemented method executed by one or more computing devices of a computer system, the method comprising:

• obtaining digital image data of hair of a live subject;
• providing the digital image data to a style recommendation engine of the computer system;
• determining, by the style recommendation engine of the computer system, color of the hair of the live subject based on the digital image data;
• and
• executing a machine learning model of the style recommendation engine using the color of the hair of the live subject as input to generate a style profile as output,
• and wherein the style profile comprises parameters configured to control discharge of one or more components of a hair coloring formulation by a formulation dispensing system of a hair coloring device,
• wherein the style profile generated by the machine learning model further comprises a pattern of hair coloring, wherein the pattern comprises a gradient effect, and wherein the parameters are further configured to modulate discharge of the one or more components to color the hair of the live subject to achieve the gradient effect.

A hair coloring device, comprising:

• a formulation dispensing system;
• and
• computational circuitry configured to:
• receive a style profile comprising parameters configured to control discharge of one or more components of a hair coloring formulation by the formulation dispensing system;
• and
• operate the formulation dispensing system according to the style profile,
• wherein the style profile is generated as output of a machine learning model of a style recommendation engine,
• wherein the style profile generated by the machine learning model further comprises a pattern of hair coloring, wherein the pattern comprises a gradient effect, and wherein the parameters are further configured to modulate discharge of the one or more components to color the hair of the live subject to achieve the gradient effect.