Patent ID: 11893151
Assignee: GRAVYSTACK, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 10:
11. A method for external activity verification, wherein the method comprises:
receiving, using a processor, an external datum related to a user, wherein the external datum comprises user activity outside of an online platform;
determining, using the processor, a causative correlation between a first category of data elements and a second category of data elements, wherein the first category of data elements indicates biometric identifiers related to one or more physiological characteristics and the second category of data elements indicates past verified external data;
verifying, using the processor, the external datum as a function of a verification protocol, wherein the verification protocol comprises training a verification machine-learning process using the determined causative correlation, wherein a verified external datum is generated as an output of the verification machine-learning process;
applying, using the processor, the verified external datum towards a goal, wherein the goal comprises a career goal of the user; and
generating, using the processor, internal activity as a function of the status of the goal, wherein the internal activity comprises instructions on activities for the user on making progress towards accomplishing the career goal, wherein generating the internal activity comprises:
receiving activity training data comprising correlations among external data comprising wearable device data and past internal activities to internal activities;
training an activity machine learning model using the activity training data; and
outputting the internal activity using the activity machine learning model.