Interactive search and generation system for social identity of objects data using large language model(s)

A system for scored searching, the system comprising:

• a memory that stores instructions;
• and
• a processor that executes the instructions, wherein execution of the instructions by the processor causes the processor to:
• analyze a text-based input to extract a plurality of natural language elements from the text-based input, wherein the text-based input is associated with a physical object;
• generate a prompt from at least a subset of the plurality of natural language elements, wherein the prompt represents a search query for a search;
• analyze the prompt using a trained machine learning model to generate a response, wherein the response is responsive to the prompt and represents a search result of the search;
• analyze the response to extract a plurality of media content elements from the response, wherein the plurality of media content elements corresponds to different aspects of the physical object;
• and
• analyze the plurality of media content elements to generate a score, wherein the score is associated with at least one of an accuracy of the search result or a responsiveness of the search result to the search query.