Pro-core Technologies Limited

Patavee Meemeng

Mohammad Soltani

Gagik Hacobian

Jiazi Liu

Hunter Buckhorn

A computing platform is configured to: (i) obtain a plurality of data files; (ii) for each respective data file of the plurality of obtained data files, obtain contents associated with the respective data file and evaluate the contents associated with the respective data file to determine a respective data structure for the respective data file; (iii) compare the determined respective data structures and thereby identify one or more data structure differences among the determined respective data structures for the data files; (iv) based on the identified one or more data structure differences among the determined respective data structures for the data files, determine a revision history for the plurality of data files; and (v) transmit, to a client station, a communication related to the revision history and thereby cause an indication of the revision history to be presented at a user interface of the client station.

Determination of revision history for data files

An example computing system is configured to: (i) access a drawing associated with a construction project; (ii) identify, in the drawing, a set of candidate textual elements that potentially represent a title of the drawing; (iii) for each candidate textual element, (a) determine a respective dataset comprising values for a set of data variables that are potentially predictive of whether the candidate textual element is the title of the drawing, and (b) input the respective dataset into a machine-learning model that functions to (1) evaluate the respective dataset and (2) output, based on the evaluation, a respective score indicating a likelihood that the candidate textual element represents the title of the drawing; and (iv) based on the respective scores for the candidate textual elements that are output by the machine-learning model, select one given candidate textual element as the title of the drawing.

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Patavee Meemeng