System and method for content recognition and data categorization

A content recognition and data categorization system comprising:

• one or more databases coupled via a network;
• and
• a computing system having a non-transitory computer-readable medium comprising code, the computing system having one or more processors coupled to the one or more databases over the network, wherein instructions are executed by the computing system to perform:
• maintaining a database of the one or more databases on a server in communication with one or more third party content provider computing device systems and one or more user computing device systems,
• storing a plurality of user profiles, each user profile being unique and being associated with a first unique user entity accessible by the one or more user computing device systems, wherein at least one first unique user profile comprises personal information related to a first unique user and information representing at least one brand identifier of the first unique user that have been selected to be associated with the first unique user on the content recognition and data categorization system, the server adapted to access the database and to receive inputs, including from the one or more user computing devices systems;
• collecting one or more captured content in different formats from the one or more third-party content provider computing device systems by one or more content search queries for the one or more captured content available on the internet or by receiving shared content by the one or more third-party content provider computing device systems;
• storing the one or more captured content in the database;
• identifying one or more objects associated with the one or more captured content using Optical Character Recognition technology
• transforming extracted data of the one or more identified objects from the different formats of the one or more captured content to a standardized format by stripping the one or more captured content for one or more details and uploading the one or more details with additional fields cataloging various items displayed in foregrounds and backgrounds of each of the one or more captured content using one or more active machine learning and artificial intelligence processes in real time;
• searching the database, in response to the transformed extracted data, to identify one or more potential associated brand identifiers to the first unique user based at least in part on the first unique user profile and collected data from the one or more identified objects, the one or more identified objects received from the one or more third party content provider computing device systems;
• determining one or more potential associated brand identifiers to the first unique user from the one or more identified potential associated brand identifiers to determine a brand correlation between the at least one brand identifier and the one more potential associated brand identifiers to assist the first unique user in determining additional brands that have a consumer overlap;
• and
• presenting at a display associated with the first unique user, data representing the one or more identified potential associated brand identifiers to provide a more accurate vantage point of a current market, the data representing the one or more identified potential associated brand identifiers provided as one or more user interface elements associated with the one or more identified potential associated brand identifiers.