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 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: Embodiments of the present invention provide a system for performing analysis and generating remediation estimations for user interfaces associated with software applications. The system is configured for crawling one or more software applications associated with an entity, identifying one or more user interface elements associated with the one or more software applications, comparing and analyzing the one or more user interface elements with one or more standards stored in a data repository, and generating one or more remediation estimations associated with modifying the one or more user interface elements to meet the one or more standards based on comparing and analyzing the one or more user interface elements with the one or more standards.

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: Systems for enhanced protection or security using eye movement tracking are provided. In some examples, a user may launch an application on a user device. If enhanced protections apply to the application, an image of a user eye may be captured and compared to pre-stored data to ensure the user is a registered user. Additional eye movement data may be captured and analyzed. Analyzing the eye movement data may include detecting a look-away by a user. If a look-away is detected, the application may be closed, data within the application may be obscured, or the like. Eye movement data may also be analyzed to identify portions of an application the user viewed for more than a threshold time period, less than a threshold time period, and the like. This data may be analyzed (e.g., using machine learning) to generate one or more heat maps.

Abstract: Systems for enhanced protection or security using eye movement tracking are provided. In some examples, a user may launch an application on a user device. If enhanced protections apply to the application, an image of a user eye may be captured and compared to pre-stored data to ensure the user is a registered user. Additional eye movement data may be captured and analyzed. Analyzing the eye movement data may include detecting a look-away by a user. If a look-away is detected, the application may be closed, data within the application may be obscured, or the like. Eye movement data may also be analyzed to identify portions of an application the user viewed for more than a threshold time period, less than a threshold time period, and the like. This data may be analyzed (e.g., using machine learning) to generate one or more heat maps.