Dynamic provisioning of data exchanges based on detected relationships within processed image data

A computer-implemented method, comprising:

• receiving, by at least one processor, a first signal from a device, the first signal comprising image data that identifies a plurality of individuals associated with an exchange of data;
• by the at least one processor, applying a trained machine learning process to elements of the image data, and based on the application of the trained machine learning process to the elements of the image data, determining, for each of the individuals, a value of a first characteristic of the corresponding individual, the first characteristic including one of a physical or a demographical parameter of the individuals;
• generating, by the at least one processor, relationship data characterizing a structure of a familial relationship between at least two of the individuals based at least in part on the values of the first characteristic associated with the at least two of the individuals;
• determining, by the at least one processor, candidate parameter values of that characterize the data exchange based on portions of the values of the first characteristic and the relationship data, the candidate parameter values representing discrete elements of a policy associated with the data exchange;
• and
• generating and transmitting, by the at least one processor, a second signal to the device that includes the candidate parameter values, the second signal comprising information that causes an application program executed by the device to perform operations that present at least a portion of the candidate parameter values within a digital interface.

A device, comprising:

• a display unit;
• a communications unit;
• a storage unit storing instructions;
• and
• at least one processor coupled to the display unit, the communications unit, and the storage unit, the at least one processor being configured to execute the instructions to:
• generate and transmit, via the communications unit, a first signal to a computing system, the first signal comprising image data that identifies a plurality of individuals associated with an exchange of data;
• receive, via the communications unit, a second signal from the computing system, the second signal comprising candidate parameter values characterizing the data exchange, the candidate parameter values representing discrete elements of a policy associated with the data exchange;
• and
• perform operations that display, using the display unit, the candidate parameter values within a corresponding portion of a digital interface, wherein the first signal comprises information that causes the computing system to execute an application program, the executed application program performing operations that, apply a trained machine learning process to elements the image data, and based on the application of the trained machine learning process to the elements of the image data, determine, for each of the individuals, a value of a characteristic of the corresponding individual, and generate relationship data characterizing a structure of a familial relationship between the individuals based at least in part on the values of the first characteristic associated with the individuals, and that determine the candidate parameter values based on portions of the characteristic values and the relationship data.