AGE PREDICTION OF END USERS BASED ON INPUT DEVICE DATA

    公开(公告)号:US20240201821A1

    公开(公告)日:2024-06-20

    申请号:US18082451

    申请日:2022-12-15

    申请人: SardineAI Corp.

    IPC分类号: G06F3/04812 G06F11/34

    CPC分类号: G06F3/04812 G06F11/3438

    摘要: The present technology includes receiving event data of a user from a user device while the user interacts with a graphical user interface (GUI) to access a service, where the event data includes behavioral biometrics of the user obtained from one or more input devices of the user device, and predicting, based on the event data, a projected age of the user, where predicting the age of the user includes inputting the event data into a machine learning model, where the machine learning model is configured to receive event data and output an age prediction for a user associated with the event data.

    AGE PREDICTION OF END USERS BASED ON INPUT DEVICE DATA

    公开(公告)号:US20240281106A1

    公开(公告)日:2024-08-22

    申请号:US18653926

    申请日:2024-05-02

    申请人: SardineAI Corp.

    IPC分类号: G06F3/04812 G06F11/34

    CPC分类号: G06F3/04812 G06F11/3438

    摘要: The present technology includes receiving event data of a user from a user device while the user interacts with a graphical user interface (GUI) to access a service, where the event data includes behavioral biometrics of the user obtained from one or more input devices of the user device, and predicting, based on the event data, a projected age of the user, where predicting the age of the user includes inputting the event data into a machine learning model, where the machine learning model is configured to receive event data and output an age prediction for a user associated with the event data.

    TRANSACTION EVALUATION BASED ON A MACHINE LEARNING PROJECTION OF FUTURE ACCOUNT STATUS

    公开(公告)号:US20240193607A1

    公开(公告)日:2024-06-13

    申请号:US18077145

    申请日:2022-12-07

    申请人: SardineAI Corp.

    IPC分类号: G06Q20/40 G06N20/00

    CPC分类号: G06Q20/4016 G06N20/00

    摘要: The present technology includes receiving, by an evaluation service, a request from a web service regarding a subject entity performing a current transaction, where the current transaction is dependent on a parameter of a user account associated with the subject entity meeting a criterion, receiving, by the evaluation service, historical account data from the user account associated with the subject entity, predicting, by the evaluation service, a projected parameter at a future time of the user account associated with the subject entity, where the evaluation service includes a trained machine learning model configured to receive the historical account data for the user account and to predict the projected parameter, and generating, by the evaluation service, a probability that the projected parameter at the future time is correct.