Abstract: In an approach for creating a digital twin representative of a user and the food consumption of the user and for performing a simulation of the digital twin to create a food buying plan for a shopping cycle, a processor creates a digital twin representative of a user. A processor mines for data about the user from a plurality of sources to personalize the digital twin. A processor performs a simulation of the digital twin to create a food buying plan for a shopping cycle. A processor identifies a price of each food item on the food buying plan and one or more available offers on each food item on the food buying plan to determine whether a monetary budget for the shopping cycle is sufficient. Responsive to determining the monetary budget for the shopping cycle is sufficient, a processor outputs a shopping list for the shopping cycle.

Abstract: A computer-implemented method, a computer program product, and a computer system for event-based dynamic prediction in location sharing on mobile devices. The computer system captures biometric data of a user, in response to starting location sharing requested by the user. The computer system collects action-based context of behavior of the user during the location sharing, determines activities of the user and one or more sharing users during the location sharing, determines context of the location sharing, tracks activities of the user and the one or more sharing users after the location sharing is ended, and tracks social network relationships between the user and the one or more sharing users. The computer system creates a knowledge corpus for training a machine learning model for prediction in a future location sharing event, using obtained information.

Abstract: A computer-implemented method, a computer program product, and a computer system for event-based dynamic prediction in location sharing on mobile devices. The computer system captures biometric data of a user, in response to starting location sharing requested by the user. The computer system collects action-based context of behavior of the user during the location sharing, determines activities of the user and one or more sharing users during the location sharing, determines context of the location sharing, tracks activities of the user and the one or more sharing users after the location sharing is ended, and tracks social network relationships between the user and the one or more sharing users. The computer system creates a knowledge corpus for training a machine learning model for prediction in a future location sharing event, using obtained information.

Abstract: An approach for assisting users with disabilities in an emergency situation relating to a vehicle is disclosed. The approach determines the profile of the passenger in a vehicle by noting preferences and disabilities associated with the passenger. After a vehicle accident, the approach determines the condition of the vehicle and the condition of the passenger. Based on various information received, the approach creates an action list of solutions for the passenger, wherein the action list has assigned dynamic risk scores. The approach determines the best solution based on the risk scores and selects the best solution from the action list.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can map an environment comprising one or more locations having respective objects located within each of the one or more locations based on received information. Embodiments of the present invention can then dynamically determine appropriate auditory levels for the environment. Embodiments of the present invention can then adjust auditory levels of each of the one or more rooms within the environment to match the determined auditory level.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can map an environment comprising one or more locations having respective objects located within each of the one or more locations based on received information. Embodiments of the present invention can then dynamically determine appropriate auditory levels for the environment. Embodiments of the present invention can then adjust auditory levels of each of the one or more rooms within the environment to match the determined auditory level.

Abstract: An indication of a user saving a content to a clipboard of a computing device is received. Based on analysis of the saved content and a context of the actions being performed by the user, a determination is made whether the saved content is a password. In response to determining that the saved content is a password, at least one delete action from a group of delete actions is executed.

Abstract: Cluster-based management of vehicle power consumption is provided. Electrical power consumption and processing power consumption of a vehicle is optimized by dynamically determining a cluster of vehicles for the vehicle to join based on input sensor data capturing functions, sensor data processing functions, communication functions, vehicle driving functions, and interior vehicle functions. In response to the vehicle joining the cluster of vehicles, an appropriate proportion of information the vehicle is to process is determined based on current input sensor data capturing functions, sensor data processing functions, and communication functions the vehicle is performing and current power consumption levels the vehicle is using, and current input sensor data capturing functions, sensor data processing functions, and communication functions other vehicles in the cluster of vehicles are performing and current power consumption levels the other vehicles in the cluster are using.

Abstract: Cluster-based management of vehicle power consumption is provided. Electrical power consumption and processing power consumption of a vehicle is optimized by dynamically determining a cluster of vehicles for the vehicle to join based on input sensor data capturing functions, sensor data processing functions, communication functions, vehicle driving functions, and interior vehicle functions. In response to the vehicle joining the cluster of vehicles, an appropriate proportion of information the vehicle is to process is determined based on current input sensor data capturing functions, sensor data processing functions, and communication functions the vehicle is performing and current power consumption levels the vehicle is using, and current input sensor data capturing functions, sensor data processing functions, and communication functions other vehicles in the cluster of vehicles are performing and current power consumption levels the other vehicles in the cluster are using.