Systems and methods for intelligent casting of data object creators

A system for intelligent casting of data object creators, the system comprising:

• at least one data storage device storing instructions for intelligent casting of data object creators in an electronic storage medium;
• and
• at least one processor configured to execute the instructions to perform a method including:
• receiving, via an application programming interface (API) gateway and from a manufacturing entity associated with a user interface, information identifying at least one object to be featured in a media post for presentation in the user interface, wherein the user interface is configured to include one or more object view elements, and wherein the API gateway is configured to (i) manage a usage plan associated with the manufacturing entity, (ii) receive a request for intelligent casting from the manufacturing entity, (iii) verify that the request is valid, and (iv) post the request to an API processing module;
• determining at least one correlation between the at least one object and at least one stored object, the at least one stored object stored in an object database, wherein determining the at least one correlation comprises analyzing, via an image classification system using a training model dataset, an image of the at least one object included in the received information, to identify attributes of the at least one object and to match the at least one object to the at least one stored object, the attributes including a category associated with the at least one object;
• selecting a plurality of data object creators, the plurality of data object creators correlated to the at least one stored object, wherein selecting the plurality of data object creators comprises importing one or more profiles for each data object creator into the object database, the one or more profiles including media posting websites and data aggregators, and importing content previously posted by each data object creator, the content including links to other websites, information about objects featured in the content, and posts including text, images, and video;
• analyzing, by using a segmentation model and an object correlation engine, of the plurality of data object creators to determine one or more classified data object creators for the at least one object, the analyzing including:
• classifying, by the segmentation model, one or more data object creators of the plurality of data object creators based on one or more of physical characteristics of the one or more data object creators or demographic characteristics of the one or more data object creators, wherein the segmentation model includes a machine learning model of an artificial intelligence engine;
• grouping, by the segmentation model, the one or more classified data object creators into one or more segments based on a user profile corresponding to each classified data object creator, the user profile including at least one attribute;
• and
• correlating, by the object correlation engine, the one or more classified data object creators corresponding to the respective one or more segments to the information identifying the at least one object, the correlating based on one or more matches between the at least one object and the one or more classified data object creators who engaged with at least one similar object with a predetermined level of success;
• returning a list of the one or more classified data object creators corresponding to at least one of the one or more segments;
• receiving a selection of one of the one or more classified data object creators included in the returned list;
• dynamically synthesizing, by the artificial intelligence engine and for the selected one of the one or more classified data object creators included in the returned list, a synthetic media post representing a sample preview of a media post associated with the at least one object, based on analyzing at least one of text, photo content, video content, or metadata, of media posts previously created by the selected one of the one or more classified data object creators included in the returned list;
• and
• receiving the media post featuring the at least one object from the selected one of the one or more classified data object creators included in the returned list, the received media post being generated based on the dynamic media post.

One or more non-transitory machine-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method for intelligent casting of data object creators, the method including:

• receiving, via an application programming interface (API) gateway and from a manufacturing entity associated with a user interface, information identifying at least one object to be featured in a media post for presentation in the user interface, wherein the user interface is configured to include one or more object view elements, and wherein the API gateway is configured to (i) manage a usage plan associated with the manufacturing entity, (ii) receive a request for intelligent casting from the manufacturing entity, (iii) verify that the request is valid, and (iv) post the request to an API processing module;
• determining at least one correlation between the at least one object and at least one stored object, the at least one stored object stored in an object database, wherein determining the at least one correlation comprises analyzing, via an image classification system using a training model dataset, an image of the at least one object included in the received information, to identify attributes of the at least one object and to match the at least one object to the at least one stored object, the attributes including a category associated with the at least one object;
• selecting a plurality of data object creators, the plurality of data object creators correlated to the at least one stored object, wherein selecting the plurality of data object creators comprises importing one or more profiles for each data object creator into the object database, the one or more profiles including media posting websites and data aggregators, and importing content previously posted by each data object creator, the content including links to other websites, information about objects featured in the content, and posts including text, images, and video;
• analyzing, by using a segmentation model and an object correlation engine, the plurality of data object creators to determine one or more classified data object creators for the at least one object, the analyzing including:
• classifying, by the segmentation model, one or more data object creators of the plurality of data object creators based on one or more of physical characteristics of the one or more data object creators or demographic characteristics of the one or more data object creators, wherein the segmentation model includes a machine learning model of an artificial intelligence engine;
• grouping, by the segmentation model, the one or more classified data object creators into one or more segments based on a user profile corresponding to each classified data object creator, the user profile including at least one attribute;
• and
• correlating, by the object correlation engine, the one or more classified data object creators corresponding to the respective one or more segments to the information identifying the at least one object, the correlating based on one or more matches between the at least one object and the one or more classified data object creators who engaged with at least one similar object with a predetermined level of success;
• returning a list of the one or more classified data object creators corresponding to at least one of the one or more segments;
• receiving a selection of one of the one or more classified data object creators included in the returned list;
• dynamically synthesizing, by the artificial intelligence engine and for the selected one of the one or more classified data object creators included in the returned list, a synthetic media post representing a sample preview of a media post associated with the at least one object, based on analyzing at least one of text, photo content, video content, or metadata, of media posts previously created by the selected one of the one or more classified data object creators included in the returned list;
• and
• receiving the media post featuring the at least one object from the selected one of the one or more classified data object creators included in the returned list, the received media post being generated based on the dynamic media post.