Abstract:
A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.
Abstract:
A method and computer system aggregates and correlates various types of data from an individual for life management purposes. As an example, the various types of data may include home data, vehicle data, and personal health data associated with the individual. The method and system may receive the various types of data from the individual and analyze each type of data to determine patterns associated with each type of data. The method and system may then compare each of the determined patterns with one another to determine any underlying factors and correlations that may be affecting each of the determined patterns. Based on the determined underlying factors and correlations for each of the determined patterns, the method and system may provide the individual with various benefits such as personalized recommendations, insurance discounts, and other added values or services that the individual can use to better manage and improve his or her life.
Abstract:
Methods and systems for monitoring and analyzing electrical energy use at a site are disclosed herein. An electricity monitoring device configured to measure real-time electricity characteristics (e.g., instantaneous voltage levels) may be plugged into an outlet of an electrical circuit of a structure. The data obtained by such device may then be analyzed to determine electricity usage levels for the site and/or for individual electrical devices in the structure (e.g., based upon unique electrical signatures indicated by variations in voltage levels). The electricity usage levels may further be used to generate an energy use profile for the structure.
Abstract:
Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.
Abstract:
A computer-implemented method for providing feedback on driving behavior of a driver based upon driving behavior data associated with the driver may include, by one or more processors, (i) receiving driving behavior data associated with the driver; (ii) inputting the driving behavior data associated with the driver into a generative AI model to generate feedback about the driving behavior of a driver, wherein the generative AI model is trained using historical driving behavior to identify behavioral patterns in driving and configured to (a) correlate driving behavioral patterns with suggestions to improve driving, (b) analyze input driving behavior data associated with the driver to determine suggestions to improve the driving behavior of the driver, and (c) generate feedback regarding the driving behavior associated with the driver; and (iii) presenting, by the one or more processors, the feedback to the driver.
Abstract:
A computer system for abnormal network traffic detection may include one or more processors configured to: transmit a prompt for abnormal network traffic detection code to an ML chatbot (or voice bot) to cause an ML model to generate the abnormal network traffic detection code, receive the abnormal network traffic detection code from the ML chatbot (or voice bot), detect abnormal network traffic, and/or report the abnormal network traffic to a user.
Abstract:
A computer system for flood monitoring and remediation service provider notification, the computer system may include one or more processors configured to: detect a flood event in a structure, transmit information associated with the structure and a prompt for a flood remediation service quote to a machine learning (ML) chatbot to cause the ML chatbot to request flood cleanup from one or more remediation service providers, receive cost estimates from the one or more remediation service providers, receive schedule availability from the one or more remediation service providers, receive, from the ML chatbot, the cost estimates and the schedule availability, and communicate the cost estimates and/or the schedule availability to a user associated with the structure.
Abstract:
A computer system for enforcing a privacy policy by scanning unstructured data may include one or more processors configured to: send a privacy policy and a prompt for privacy enforcement code to an ML chatbot (or voice bot) to cause an ML model to generate the privacy enforcement code, receive the privacy enforcement code from the ML chatbot (or voice bot), scan a set of unstructured data, detect one or more violations of the privacy policy in the set of unstructured data, and/or communicate the one or more violations to a user.
Abstract:
Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.
Abstract:
The present embodiments relate to detecting instances of individuals being in peril within an independent or assisted living environment. According to certain aspects, with an individual's permission or affirmative consent, a hardware controller (such as a smart or interconnected home controller, or even a mobile device) may receive and analyze sensor data detected within the independent or assisted living environment to determine whether an individual may be in peril. In this circumstance, the hardware controller may generate a notification that indicates the situation and may communicate the notification to a proper individual, such as a family member or care giver, who may be in a position to mitigate or alleviate any risks posed by the situation. The foregoing functionality also may be used by an insurance provider to generate, update, or adjust insurance policies, premiums, rates, or discounts, and/or make recommendations to an insured individual.