Systems and methods disclosed herein relates generally to using augmented reality (AR) for visualizing recommended updates to devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended update.

Systems, apparatuses, methods and computer program products are disclosed for using a mobile driver's license (mDL) to enhance insurance data exchange for an insurance event. An example method includes transmitting an identity verification request to a user device. The example method further includes receiving, from the user device, an identity verification response comprising a mDL. The example method further includes verifying, based on the identity verification response, authenticity of the mDL. The example method further includes, generating, using a risk determination model, a secondary verification protocol. The example method further includes, verifying, using the secondary verification protocol, user identity. The example method further includes identifying an insurance entity associated with the mDL. The example method further includes transmitting to the insurance entity, an insurance data request. The example method further includes receiving, by a provider device, and in response to the insurance data request, insurance data associated with the user.

A system includes a vehicle system including one or more sensors that to monitor one or more properties related to an operation of a vehicle. The system also includes a processor that receives expected vehicle usage information from an applicant, a database, publicly available sources, or the like and receive a set of data including the one or more properties from the vehicle system. The set of data is associated with the expected vehicle usage information. The processor may then determine a premium base rate based at least in part on the set of data and a risk associated with the applicant and determine a vehicle rate based at least in part on the set of data and a risk associated with the vehicle. The processor may then display a visualization including the premium base rate and the vehicle rate on a display.

Concepts related to automatically assessing risk associated with continuation events are described. In one embodiment, a computing device includes a memory device to store computer-readable instructions thereon. The computing device further includes at least one processing device configured to execute a search of at least one digital platform having data associated with an employee of an organization via a computer network. The at least one processing device is further configured to identify data indicative of a potential continuation event associated with at least one of the organization or the employee. The at least one processing device is further configured to determine, using a machine learning model and based at least in part on the data, a risk score for the potential continuation event occurring within a time frame.

Systems, apparatuses, methods and computer program products are disclosed for using a mobile driver's license (mDL) to enhance insurance data exchange for an insurance event. An example method includes transmitting an identity verification request to a user device. The example method further includes receiving, from the user device, an identity verification response comprising a mDL. The example method further includes verifying, based on the identity verification response, authenticity of the mDL. The example method further includes, generating, using a risk determination model, a secondary verification protocol. The example method further includes, verifying, using the secondary verification protocol, user identity. The example method further includes identifying an insurance entity associated with the mDL. The example method further includes transmitting to the insurance entity, an insurance data request. The example method further includes receiving, by a provider device, and in response to the insurance data request, insurance data associated with the user.

A data processing system for recommending insurance plans implements obtaining an electronic copy of demographic information associated with a user; analyzing the demographic information with a first machine learning model to recommend a bundle of insurance policies based on the demographic information, wherein the first machine learning model is configured to group insured people having similar demographics into clusters and to generate the bundle of insurance policies based on predicted medical insurance consumption associated with a respective group into which the model predicts that the first user falls; customizing the recommended bundle of insurance policies based on the demographic information associated with the user to generate a customized bundle of insurance policies; generating an insurance recommendation report that presents the customized bundle of insurance policies to the user; and causing a user interface of a display of a computing device associated with the user to present the insurance recommendation report.

Systems and methods disclosed herein relate generally to using augmented reality (AR) for receiving and displaying recommended devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended device.