Abstract: In some embodiments, an exemplary method may include receiving by a computing device of a user, first facial image data of the user for identity verification from an authorizing entity for authorizing user operations in computing systems managed by a plurality of entities. Second facial image data of the user is obtained using an imaging device of the computing device at a predefined location of a particular entity from the plurality of entities for authenticating the user. A unique authorization identifier is displayed of the computing device of the user. A location of the computing device and a timestamp when a computing terminal of the particular entity scans the unique authorization identifier on the computing device of the authenticated user and an authorization request is relayed to the authorizing entity. An approval is received based on verification of the unique authorization identifier generated for the particular entity, the location of the computing device, and the timestamp.

Abstract: Gift givers typically find the process of selecting a personalized gift for a gift recipient to be time consuming with a low likelihood that the selected gift will be positively received by the recipient. The present disclosure describes analyzing a gift recipient's transaction history using machine learning techniques. Based on the analysis, one or more gift recommendations are provided to the gift giver. The one or more gift recommendations may comprise links to purchase products associated with the one or more gift recommendations. Additionally or alternatively, the one or more gift recommendations may comprise information about where the product may be purchased. This may improve the overall accuracy of the gift giving process, while reducing the stress surrounding gift giving. Additionally, the commercial opportunities of businesses may be expanded by partnering with sites that host the analysis.

Abstract: Gift givers typically find the process of selecting a personalized gift for a gift recipient to be time consuming with a low likelihood that the selected gift will be positively received by the recipient. The present disclosure describes analyzing a gift recipient's transaction history using machine learning techniques. Based on the analysis, one or more gift recommendations are provided to the gift giver. The one or more gift recommendations may comprise links to purchase products associated with the one or more gift recommendations. Additionally or alternatively, the one or more gift recommendations may comprise information about where the product may be purchased. This may improve the overall accuracy of the gift giving process, while reducing the stress surrounding gift giving. Additionally, the commercial opportunities of businesses may be expanded by partnering with sites that host the analysis.

Abstract: In some embodiments, an exemplary method may include receiving by a computing device of a user, first facial image data of the user for identity verification from an authorizing entity for authorizing user operations in computing systems managed by a plurality of entities. Second facial image data of the user is obtained using an imaging device of the computing device at a predefined location of a particular entity from the plurality of entities for authenticating the user. A unique authorization identifier is displayed of the computing device of the user. A location of the computing device and a timestamp when a computing terminal of the particular entity scans the unique authorization identifier on the computing device of the authenticated user and an authorization request is relayed to the authorizing entity. An approval is received based on verification of the unique authorization identifier generated for the particular entity, the location of the computing device, and the timestamp.

Abstract: In some embodiments, an exemplary method may include receiving by a computing device of a user, first facial image data of the user for identity verification from an authorizing entity for authorizing user operations in computing systems managed by a plurality of entities. Second facial image data of the user is obtained using an imaging device of the computing device at a predefined location of a particular entity from the plurality of entities for authenticating the user. A unique authorization identifier is displayed of the computing device of the user. A location of the computing device and a timestamp when a computing terminal of the particular entity scans the unique authorization identifier on the computing device of the authenticated user and an authorization request is relayed to the authorizing entity. An approval is received based on verification of the unique authorization identifier generated for the particular entity, the location of the computing device, and the timestamp.