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: 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 system is provided and is programmed to: (1) display, via a first client device, a prompt to a first user; (2) receive, from the first client device, a first response captured by the first client device in response to the prompt; (3) transmit to at least a second client device, a link to view the first response, wherein the second client device is configured to display the first response; (4) receive, from the second client device, a second response captured by the second client device in response to the first response; and/or (5) associate the second response with the first response.

Abstract: A computer system is provided and is programmed to: (1) display, via a first client device, a prompt to a first user; (2) receive, from the first client device, a first response captured by the first client device in response to the prompt; (3) transmit to at least a second client device, a link to view the first response, wherein the second client device is configured to display the first response; (4) receive, from the second client device, a second response captured by the second client device in response to the first response; and/or (5) associate the second response with the first response.

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 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 network security vulnerability inspection may include one or more processors configured to: transmit a prompt for network security vulnerability testing code to an ML chatbot (or voice bot) to cause an ML model to generate the network security vulnerability testing code, receive the network security vulnerability testing code from the ML chatbot (or voice bot), scan a network to identify network computing devices, scan one or more of the network computing devices to identify security vulnerabilities and vulnerable network computing devices, and/or communicate the security vulnerabilities and/or vulnerable network computing devices to a user.

Abstract: A computer system for flood monitoring and insurance 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 flood reimbursement services to a machine learning (ML) chatbot to cause the ML chatbot to file a flood reimbursement claim with an insurance provider having an insurance policy associated with the structure via telephone by converting a text output into a voice output.

Abstract: A computer system for personalized planning may include one or more processors configured to: receive from a user a request for personalized assistance with an objective, send an identification of the user and a prompt for the personalized assistance with the objective to an ML chatbot (or voice bot) to cause an ML model to divide the objective into one or more discrete steps and generate personalized instructions for performing the one or more discrete steps, receive the personalized instructions for performing the one or more discrete steps from the ML chatbot (or voice bot), and communicate the personalized instructions for performing the one or more discrete steps to the user.

Abstract: A computer system for inspecting source code for security vulnerabilities may include one or more processors configured to: send source code and a prompt for code checking to an ML chatbot (or voice bot) to cause an ML model to inspect the source code for security vulnerabilities, determine whether there is a security vulnerability in the source code based on a response from the ML chatbot (or voice bot), and/or responsive to determining that there is a security vulnerability in the source code, communicate the security vulnerability to a user associated with the source code.

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: A computer system for automated investment advising may include one or more processors configured to: receive from an investor an investment strategy, send the investment strategy and a prompt for investment instructions to an ML chatbot (or voice bot) to cause an ML model to generate the investment instructions, and receive the investment instructions from the ML chatbot (or voice bot).

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 sump pump monitoring and repair service provider notification may include one or more processors configured to: detect that a sump pump is faulty, transmit a prompt for service quotes to a machine learning (ML) chatbot to cause the ML chatbot to: request sump pump replacement or repair services from one or more service providers, receive cost estimates from the one or more repair service providers, receive schedule availability from the one or more repair 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 sump pump.

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: 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: Systems and methods for generating a virtual synthetic representative based upon a person or user are disclosed. Personal data associated with a person is collected, including personal data regarding a past communication of the person. One or more attributes indicative of personal mannerisms of the individual person are identified from the personal data. A synthetic virtual representative profile is then created from the identified personal mannerisms, and a synthetic virtual representative is virtually constructed based upon the virtual representative profile. The synthetic representative construction including a visual representation of the representative in a virtual environment.

Abstract: Systems and methods for generating personalized virtual content for a user of a virtual experience system are disclosed. Personal data associated with a customer or a user of a virtual experience device is collected, and a set of keywords representative of customer characteristics is identified from the personal data. Virtual content is generated using a machine learning model trained to generate personalized virtual content based upon keywords. The personalized virtual content is generated based upon the set of keywords representative of the customer characteristics. The personalized virtual content is provided via the virtual experience device to the customer or user in a virtual environment.