System for dynamic data aggregation and prediction for assessment of electronic non-fungible resources

Abstract

Systems, computer program products, and methods are described herein for dynamic data aggregation and prediction for assessment of electronic non-fungible resources. The present invention is configured to receive, from a user input device, a request to predict an assessment of an NFT for a resource at a first time; capture, using a ML subsystem, one or more attributes associated with the NFT; trigger a vectorization engine to map the one or more attributes represented in the one or more data formats into a vector array; train, using the ML subsystem, an ML model using the vector array of the one or more attributes; generate, using the ML subsystem, a trained ML model based on at least the training; predict, using the trained ML model, the assessment of the NFT at the first time; and store the predicted assessment of the NFT at the first time in an assessment repository.