Abstract: A system for facilitating mental health assessment and enhancing mental health via facial recognition and content associated with other physical attributes is provided. In particular, the system receives content associated with physical attribute of a user from at least one sensor and receives self-assessed emotional states from the user. The system extracts features from the content and determines, based on the content and by utilizing artificial intelligence models, predicted emotional states of the user by comparing the features to training information utilized to train the artificial intelligence models. The system proceeds to identify content to deliver to the user and recommend activities for the user to enhance or maintain the self-assessed emotional states, the predicted emotional states, or a combination thereof.

Abstract: A system for conducting mental health assessment and/or evaluation, matching needs, and predicting content and experiences for improving mental health is provided. In particular, the system collects various signals relating to mood, mental health, and/or other characteristics associated with a user. The system labels the signals and/or interactions based on an assessment of how user engagement with specific content should be interpreted. The labeled interactions may be assigned a score value by the system to determine deficits or needs relating to the mental health of the user. Based on the score value and signals, the system determines content, activities, and/or other resources for the user to interact with that may assist in reducing the deficits and improving the user's mental health. The system uses artificial intelligence models to analyze the interactions and signals in real-time and adjusts the recommended content to enhance mental health over time.

Abstract: The present disclosure relates to tracking events that result from a conversation on a messaging platform and that occur outside of the messaging platform. In one embodiment, the messaging platform may provide a user-selectable option that enables a first party or a second party to indicate that an event has occurred outside of the messaging platform. In another embodiment, the messaging platform may be configured to detect when a document is exchanged in a conversation via the messaging platform. In yet another embodiment, information may be extracted from a document exchanged in a conversation via a messaging platform. The extracted information may be used to determine whether an event has occurred outside of the messaging platform.

Abstract: The present disclosure relates to tracking events that result from a conversation on a messaging platform and that occur outside of the messaging platform. In one embodiment, the messaging platform may provide a user-selectable option that enables a first party or a second party to indicate that an event has occurred outside of the messaging platform. In another embodiment, the messaging platform may be configured to detect when a document is exchanged in a conversation via the messaging platform. In yet another embodiment, information may be extracted from a document exchanged in a conversation via a messaging platform. The extracted information may be used to determine whether an event has occurred outside of the messaging platform.

Abstract: A method is provided for a dynamic trust score for evaluating ongoing online relationships. By considering a plurality of user data variables and using validation data from internal and external database sources, a trust score with a high degree of confidence may be provided for establishing and verifying online relationships. Since the trust score may be dynamically recalculated periodically or on demand, the trust score may also validate over continuing periods of time, as opposed to conventional verification systems that only validate at a single point in time. Thus, a higher degree of safety, reliability, and control is provided for online services directed towards children or other user classes that may require greater protection.

Abstract: Aspects of the present innovations relate to systems and methods of a data processing involving network processing, engagement tools, social polling, messaging, custom image creation and/or feedback, among other features. In one illustrative implementation, a network may provide custom engagement tools targeting a specific audience. Further, engagement tools directly focusing on the network and its feedback may be provided, for example, to provide aspects over other social networks where users are grouped into general categories without specific features.

Abstract: A method is provided for a dynamic trust score for evaluating ongoing online relationships. By considering a plurality of user data variables and using validation data from internal and external database sources, a trust score with a high degree of confidence may be provided for establishing and verifying online relationships. Since the trust score may be dynamically recalculated periodically or on demand, the trust score may also validate over continuing periods of time, as opposed to conventional verification systems that only validate at a single point in time. Thus, a higher degree of safety, reliability, and control is provided for online services directed towards children or other user classes that may require greater protection.

Abstract: A management station discovers agent devices connected to a network by broadcasting discovery messages having a session number and waiting for discovery acknowledge unicast messages from at least some of the discovery aware agent devices connected to the network. The management station receives the discovery acknowledge unicast messages from the agent devices and each message comprises the session number and an address uniquely identifying the agent device sending the discovery acknowledge unicast message. The management station then sends a unicast registration message having a sequence number based on the session number of the discovery message. At that point, the agent device will be registered permitting further communication to the registered discovery aware agent device. The management station will send, periodically, rediscovery messages having the same session number as the discovery message.

Abstract: A management station discovers agent devices connected to a network by broadcasting discovery messages having a session number and waiting for discovery acknowledge unicast messages from at least some of the discovery aware agent devices connected to the network. The management station receives the discovery acknowledge unicast messages from the agent devices and each message comprises the session number and an address uniquely identifying the agent device sending the discovery acknowledge unicast message. The management station then sends a unicast registration message having a sequence number based on the session number of the discovery message. At that point, the agent device will be registered permitting further communication to the registered discovery aware agent device. The management station will send, periodically, rediscovery messages having the same session number as the discovery message.