Age prediction of end users based on input device data

A system comprising:

• a storage configured to store instructions;
• a processor configured to execute the instructions and cause the processor to:
• receive event data of a user from a user device while the user performs an interaction with a graphical user interface (GUI) to access a first service of a first platform, wherein the event data includes behavioral biometrics of the user obtained from one or more input devices of the user device;
• receive additional event data of the user from the user device while the user performs a second interaction with the GUI to access a second service of a second platform, wherein the additional event data includes additional behavioral biometrics of the user obtained from the one or more input devices of the user device;
• and
• predict, based on the event data and the additional event data, a projected age of the user, wherein predicting the age of the user includes inputting the event data and the additional event data into a machine learning model, wherein the machine learning model is configured to receive the event data and the additional event data and output an age prediction for the user associated with the event data.

A non-transitory computer readable medium comprising instructions, which when executed by a computing system, cause the computing system to:

• receive event data of a user from a user device while the user performs an interaction with a graphical user interface (GUI) to access a first service of a first platform, wherein the event data includes behavioral biometrics of the user obtained from one or more input devices of the user device;
• receive additional event data of the user from the user device while the user performs a second interaction with the GUI to access a second service of a second platform, wherein the additional event data includes additional behavioral biometrics of the user obtained from the one or more input devices of the user device;
• and
• predict, based on the event data and the additional event data, a projected age of the user, wherein predicting the age of the user includes inputting the event data and the additional event data into a machine learning model, wherein the machine learning model is configured to receive the event data and the additional event data and output an age prediction for the user associated with the event data.