Abstract: Aspects of the disclosure relate to a dynamic virtual reality (VR) coaching computing platform. The dynamic VR coaching computing platform may configure a VR coaching model based on model training data. The dynamic VR coaching computing platform may use the VR coaching model and a user profile to select a plurality of VR modules. The dynamic VR coaching computing platform may configure a first VR module of the plurality of VR modules based on one or more user selections. The dynamic VR coaching computing platform may receive real-time feedback during execution of the first VR module. The dynamic VR coaching computing platform may select a second plurality of VR modules based on the first real-time feedback. The dynamic VR coaching computing platform may configure a second VR module of the second plurality of VR modules based on user selections.

Abstract: A media verification device receives baseline media, which includes videos confirmed to include a target subject. The device determines, based on the baseline media for the target subject, a set of baseline features associated with the target subject. A baseline profile is determined for the target subject based on the set of baseline features. When test media which includes a video purported to include the test subject is received, test features are determined for the test media. A test profile is determined for the test media based on the set of test features. The test profile is compared to the baseline profile for the test subject. Based on this comparison, a confidence score is determined. If the confidence score is not greater than a threshold value, the test media is determined to include a synthetic video of the target subject, and an alert is provided.

Abstract: A system for customizing media presentation based on user's sentiments is disclosed. The system presents a media item to the user on a platform comprising a website. The system captures a first set of microexpressions of the user reacting to the media item. The system extracts a set of baseline features from the first set of microexpressions. The system determines whether the media item elicits positive or sentiment from the user. If the system determines that the media item elicits positive sentiment from the user, the system classifies the media item into a first class of media items that elicit positive sentiment from the user. The system adjusts contents of the platform to include media items from the first class of media items.

Abstract: A system for customizing media presentation based on user's sentiments is disclosed. The system presents a media item to the user on a platform comprising a website. The system captures a first set of microexpressions of the user reacting to the media item. The system extracts a set of baseline features from the first set of microexpressions. The system determines whether the media item elicits positive or sentiment from the user. If the system determines that the media item elicits positive sentiment from the user, the system classifies the media item into a first class of media items that elicit positive sentiment from the user. The system adjusts contents of the platform to include media items from the first class of media items.

Abstract: Aspects of the disclosure relate to a dynamic virtual reality (VR) coaching computing platform. The dynamic VR coaching computing platform may configure a VR coaching model based on model training data. The dynamic VR coaching computing platform may use the VR coaching model and a user profile to select a plurality of VR modules. The dynamic VR coaching computing platform may configure a first VR module of the plurality of VR modules based on one or more user selections. The dynamic VR coaching computing platform may receive real-time feedback during execution of the first VR module. The dynamic VR coaching computing platform may select a second plurality of VR modules based on the first real-time feedback. The dynamic VR coaching computing platform may configure a second VR module of the second plurality of VR modules based on user selections.

Abstract: A code identifies a first segment of code included in a first computer program stored on a first repository that matches, within a threshold range, a second segment of code included in a second computer program stored on a second repository. The first segment of code and the second segment of code perform one or more computing tasks. An application programming interface (API) is generated that performs the one or more computing tasks of the first and second segments of code. The first segment of code within the first computer program is replaced with a first call to the generated API. The second segment of code within the second computer program is replaced with a second call to the generated API.

Abstract: A system for identifying a user using microexpressions presents training media items to the user. The system captures a first set of microexpressions of the user in reaction to the training media items. The system, based on the first set of microexpressions, determines baseline features indicating reactions of the user to the training media items. The system presents test media items to a person. The system captures a second set of microexpressions of the person in reaction to the test media items. The system, based on the second set of microexpressions, determines test features indicating reactions of the person to the test media items. The system determines whether the person is the same as the user by comparing the baseline features to the test features. The system determines that the person is the same as the user if the test features correspond to the baseline features.

Abstract: A system for implementing robotic process automation (RPA) to enhance computer network security. Specifically, RPA is used to detect an unauthorized attempt to access a dataset and, in response, the unauthorized entity is provided access to a bot-generated modified dataset that includes modified data elements that are reasonable facsimiles of the actual data elements and do not expose confidential data. Once access to the modified data set is provided, RPA is implemented to track actions by the unauthorized entity accessing the modified data set and, once copied, RPA is implemented to track usage of the data by the unauthorized entity. Additionally, RPA may be implemented to mitigate damages caused by attempts or actual accessing of the actual datasets by performing actions that prevent further damages, such as deactivating/activating resource storage and authorizing previously configured resource events.

Abstract: Disclosed is an intelligent resource procurement system. The system typically includes a processor, a memory, and a resource management module stored in the memory. The system is typically configured for: identifying a resource deficiency associated with an entity; establishing a secure communication channel with a portable electronic device associated with the entity; monitoring a location of the portable electronic device over the secure communication channel; receiving a usage profile for each of a plurality of smart devices related to the resource deficiency; parsing the usage profiles to extract aggregate usage information; identifying a custodian of each of the plurality of smart devices; determining that the portable electronic device is located proximate to a first smart device of the plurality of smart devices and the custodian of the first smart device; and transmitting instructions causing the portable electronic device to display resource procurement information related to the resource deficiency.

Abstract: Performance data received from interrelated communication devices is analyzed to determine the current operating state of the device and based on the current operating state a variable associated with replacing the device is determined which is implemented in the determination of a dynamic user-specific replacement schedule for the interrelated communication devices.

Abstract: Disclosed are systems for predictive analysis of data received from inter-related communication devices within a distributed communication network (e.g., Internet-of-Things (IoT)), which have been determined to be associated with an entity. The predictive analysis resulting in a determination of future resource needs. Based on the predicted future resource needs, the present invention determines a resource acquisition scheme which serves to accommodate the predicted future resource needs.

Abstract: The invention utilizes a plurality of robotic process automation (RPA) bots to provide cross-technology user access provisioning across multiple applications. Typically, an entity system comprises a plurality of different systems, such as mainframe systems, client applications, web applications, and the like. As such, a user typically must input an access request into several different systems or applications in order to complete a task. By utilizing RPA, the invention is able to provision user access through a single request across all of the systems to which the user must be given access to complete the task.

Abstract: A system for implementing robotic process automation (RPA) to enhance computer network security. Specifically, RPA is used to detect an unauthorized attempt to access a dataset and, in response, the unauthorized entity is provided access to a bot-generated modified dataset that includes modified data elements that are reasonable facsimiles of the actual data elements and do not expose confidential data. Once access to the modified data set is provided, RPA is implemented to track actions by the unauthorized entity accessing the modified data set and, once copied, RPA is implemented to track usage of the data by the unauthorized entity. Additionally, RPA may be implemented to mitigate damages caused by attempts or actual accessing of the actual datasets by performing actions that prevent further damages, such as deactivating/activating resource storage and authorizing previously configured resource events.

Abstract: Embodiments of the invention are directed to a control device for aggregation of machine-initiated resource distribution. The invention is a control device that links user associated smart devices. The control device generates code to extract data from the smart devices and control the communications disseminated from and received by the smart device from third parties. In this way, the control device prevents smart devices from communicating with third party systems and from third party systems from communicating directly with the smart devices. Thus, fixing the technical challenges within a current network including the need to consolidate and aggregate data across smart devices associated with the user, the need to control and manage the flow of data packets from smart devices to third parties (privacy, filtering, protection), and the need to easily track and refresh an inventory of smart devices.

Abstract: Disclosed is an intelligent resource procurement system. The system typically includes a processor, a memory, and a resource management module stored in the memory. The system is typically configured for: identifying a resource deficiency associated with an entity; establishing a secure communication channel with a portable electronic device associated with the entity; monitoring a location of the portable electronic device over the secure communication channel; receiving a usage profile for each of a plurality of smart devices related to the resource deficiency; parsing the usage profiles to extract aggregate usage information; identifying a custodian of each of the plurality of smart devices; determining that the portable electronic device is located proximate to a first smart device of the plurality of smart devices and the custodian of the first smart device; and transmitting instructions causing the portable electronic device to display resource procurement information related to the resource deficiency.

Abstract: A system for securely distributing and managing resources includes a smart device, a resource management device, and a third party system, each having communication interfaces, and memory device, and processing device. In the resource management device, the processing device is configured to: receive from a smart device a set of smart device data via the smart device communication interface; detect within the set of smart device data a subset of data associated with a failure condition of the smart device; and communicate a set of instruction information to a third party system, wherein the instruction information is usable by the third party system to initiate a targeted communication between a host entity system associated with the smart device and the custodian such that maintenance, repair, and/or replacement of the smart device can be effectuated.

Abstract: Embodiments for providing a unified catalog include systems and methods that import catalog data from one or more underlying catalog systems. The systems identify items from the catalog data and modify at least one of item descriptions, item names, product categories, and item identifiers associated with the identified items. The systems further provide a unified user interface to a user for browsing the items, receive a request for at least one product selected by the user from the items, and send an order for the at least one selected product to the one or more catalog systems.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for aggregation of machine-initiated resource distribution. The invention generates a smart device portal for linkage of user associated smart devices. The portal generates code to extract data from the smart devices and control the communications disseminated from and received by the smart device from third parties. Thus, the generated portal and coded stored signal fixes the technical challenges within the current network including the need to consolidate and aggregate data across smart devices associated with the user, the need to control and manage the flow of data packets from smart devices to third parties (privacy, filtering, protection), and the need to easily track and refresh an inventory of smart devices in a manner that allows key data to remain associated with the user while the user's inventory, device associations, and personal/business associations change over time.

Abstract: Disclosed is an intelligent resource procurement system. The system typically includes a processor, a memory, and a resource management module stored in the memory. The system is typically configured for: identifying a resource deficiency associated with an entity; establishing a secure communication channel with a portable electronic device associated with the entity; monitoring a location of the portable electronic device over the secure communication channel; receiving a usage profile for each of a plurality of smart devices related to the resource deficiency; parsing the usage profiles to extract aggregate usage information; identifying a custodian of each of the plurality of smart devices; determining that the portable electronic device is located proximate to a first smart device of the plurality of smart devices and the custodian of the first smart device; and transmitting instructions causing the portable electronic device to display resource procurement information related to the resource deficiency.

Abstract: Embodiments of the invention are directed to a control device for aggregation of machine-initiated resource distribution. The invention is a control device that links user associated smart devices. The control device generates code to extract data from the smart devices and control the communications disseminated from and received by the smart device from third parties. In this way, the control device prevents smart devices from communicating with third party systems and from third party systems from communicating directly with the smart devices. Thus, fixing the technical challenges within a current network including the need to consolidate and aggregate data across smart devices associated with the user, the need to control and manage the flow of data packets from smart devices to third parties (privacy, filtering, protection), and the need to easily track and refresh an inventory of smart devices.