Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.

Abstract: One or more computing devices, systems, and/or methods for implementing automated barriers and delays for communication are provided. Content generated by a user may be evaluated to classify the content before the content has been submitted for access by other users. A user interface is generated and populated with an activity for the user to perform based upon a classification of the content. The user may be restricted from submitting the content until successful performance of the activity. Upon determining that the user successfully performed the activity, the user may be provided with an option to submit the content. Otherwise, the user may be blocked from submitting the content.

Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: Disclosed are systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: Systems and methods for initiating communication between users of a user group based on machine learning techniques. The disclosed systems and methods provide a novel framework for automating communication scheduling and communication initiation based on user communication objectives and machine learning techniques. The disclosed framework operates by leveraging available user provided communication parameters, user provided objectives, and various real-time data associated with the users, and using the aforementioned data as inputs for machine learning models, in order to schedule communication between the users, automatically initiate communication between the users, or transmit communication notifications to the users.

Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

Abstract: One or more computing devices, systems, and/or methods for implementing automated barriers and delays for communication are provided. Content generated by a user may be evaluated to classify the content before the content has been submitted for access by other users. A user interface is generated and populated with an activity for the user to perform based upon a classification of the content. The user may be restricted from submitting the content until successful performance of the activity. Upon determining that the user successfully performed the activity, the user may be provided with an option to submit the content. Otherwise, the user may be blocked from submitting the content.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.