Abstract: In some implementations, a device may receive sensor data from an electronics module associated with a face mask. The device may process a first set of measurements included in the sensor data to determine a user mask wearing pattern that indicates whether a user is wearing the face mask in compliance with guidelines related to reducing a risk of the user spreading a respiratory illness or a risk of the user contracting a respiratory illness. The device may process a second set of measurements included in the sensor data to determine a user breathing pattern that indicates whether the user is at risk of having a medical condition or at risk of experiencing respiratory fatigue. The device may generate one or more outputs that include information related to one or more of the user mask wearing pattern or the user breathing pattern.

Abstract: A device receives priority data identifying priorities relevant to a configuration of an application and receives feature data identifying features related to the priorities. The device identifies technology services based on a machine learning-driven analysis of the priorities and features, and includes data identifying the technology services as part of the reference architecture. The device provides data identifying the reference architecture for display via an interface, and receives data identifying technology services that have been selected by a user. The device updates scores associated with the reference architecture based on the selected technology services. A subset of the scores may be updated to reflect one or more degrees to which one or more cloud service providers offer the selected technology services. The device provides data identifying the updated scores for display via the interface to allow the scores to be used to select a particular cloud service provider.

Abstract: A device receives priority data identifying priorities relevant to a configuration of an application and receives feature data identifying features related to the priorities. The device identifies technology services based on a machine learning-driven analysis of the priorities and features, and includes data identifying the technology services as part of the reference architecture. The device provides data identifying the reference architecture for display via an interface, and receives data identifying technology services that have been selected by a user. The device updates scores associated with the reference architecture based on the selected technology services. A subset of the scores may be updated to reflect one or more degrees to which one or more cloud service providers offer the selected technology services. The device provides data identifying the updated scores for display via the interface to allow the scores to be used to select a particular cloud service provider.

Abstract: A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.

Abstract: A device receives media data from one or more streaming devices, receives educational data from one or more server devices, and receives Internet of Things (IoT) data from one or more IoT devices. The device pre-processes the media data, the educational data, and the IoT data to generate pre-processed data, and generates one or more machine learning models based on the pre-processed data. The device optimizes parameters for the one or more machine learning models, and validates the one or more machine learning models, based on optimizing the parameters for the one or more machine learning models, to generate one or more validated machine learning models. The device determines, based on the one or more validated machine learning models, recommendations for learning services that are synchronized, and causes at least one of the learning services to be implemented based on the recommendations for the learning services.

Abstract: An example device manager gateway includes one or more memories; and one or more processors, communicatively couple to the one or more memories, to identify a plurality of short range wireless communication devices; cause a plurality of short range wireless communication sessions to be established, the plurality of short range wireless communication sessions being established with the plurality of short range wireless communication devices; determine services associated with the plurality of short range wireless communication devices; identify an association between two or more of the short range wireless communication devices of the plurality of short range wireless communication devices; aggregate data associated with the services based on the association between two or more short range wireless communication devices of the plurality of short range wireless communication devices; and/or perform an action associated with the aggregated data and the two or more short range wireless communication devices.

Abstract: A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.