Data interpolation platform

A computer-implemented method comprising:

• in a system comprising a data interpolation platform, the data interpolation platform comprising:
• a data collector configured to collect, from among one or more data sources, data and information (“collected data”),
• a pre-processor,
• an artificial intelligence (AI) engine configured to at least one of generate, train, validate, test and deploy one or more AI models,
• an interactive graphical user interface (GUI) engine configured to generate and dynamically update an interactive GUI,
• a data monitor, and
• one or more servers comprising a memory, computer-readable instructions, and one or more processors executing the computer-readable instructions, thereby causing the data interpolation platform to perform operations, the operations comprising:
• receiving, by the data collector, the collected data;
• deploying, by the AI engine, at least one AI model from among the one or more AI models to identify and purge outlier data from among the collected data;
• at least one of normalizing and weighting, by the pre-processor, the collected data to create pre-processed data;
• generating, from among the pre-processed data, one or more datasets;
• deploying, by the AI engine, at least one AI pricing model from among the one or more AI models, said at least one AI pricing model using the one or more datasets as input and generating predictive and interpolated pricing data as output;
• generating, by the interactive GUI engine, one or more graphical price visualizations based on the predictive and interpolated pricing data;
• displaying, via the interactive GUI, the one or more graphical price visualizations;
• detecting, by the data monitor, at least one of a change to the collected data and a presence of new data from among the one or more data sources (collectively, “detected data”);
• updating the one or more datasets responsive to the detected data;
• re-deploying, by the AI engine, the at least one AI pricing model, using the one or more updated datasets as input, to generate updated predictive and interpolated pricing data;
• generating one or more updated graphical price visualizations based on the updated predictive and interpolated pricing data;
• and
• dynamically updating the interactive GUI to display the one or more updated graphical price visualizations.