Abstract: Systems, methods, and computer-readable storage media utilized for event-based authentication. One method includes recognizing an event and receiving, from a device, a withdrawal request of a user, wherein the withdrawal request includes a captured feature by the device. The method further includes determining that the user is associated with the recognized event using at least a geographic proximity between the event and the withdrawal request, wherein the geographic proximity is a given radius around a location of the event, and wherein the device is within the given radius and adjusting authentication rules based on the determination that the user is associated with the recognized event, wherein the adjustment of the authentication rules includes adjusting a matching threshold between the captured feature and a reference feature. The method further includes processing the withdrawal request for the user based on the adjusted authentication rules.

Abstract: Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.

Abstract: An apparatus includes a base assembly positionable on a work surface. A first elongated member is pivotally coupled to the base assembly. A second elongated member is affixed to the first elongated member. The second elongated member is configured to pivotally move and intimately contact a vehicle, and to hinder movement of the vehicle over and past the base assembly in response to the vehicle pivotally moving the first elongated member, with a weight of the vehicle received by the base assembly.

Abstract: Methods and systems of authenticating a user based on an event, such as a natural disaster, a gathering of people, and mass activities of people. The method comprises recognizing, by a financial institution computing system, an event; receiving, by the financial institution computing system, a transaction request of a user; determining, by the financial institution computing system, that the user is associated with the recognized event; adjusting, by the financial institution computing system, authentication rules for the user; and processing, by the financial institution computing system, the transaction request for the user based on the adjusted authentication rules.

Abstract: Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.