Abstract: In one embodiment, a method includes storing machine learning classification models, retrieving metadata including a plurality of terms, each of the terms include a question side value and an answer side value, categorizing each of the terms into a particular type and identifying the answer side value of each of the plurality of terms, executing instructions to cluster the question side values and answer side values according to one or more criteria, receiving text input including a first term, retrieving the one or more clusters of question side values and answer side values corresponding to the text input of the first term, filtering and ranking the clusters of question side values and answer side values based on one or more attributes corresponding to the first term, determining a first cluster of question side values and answer side values are ranked above a predetermined threshold, displaying the alternative questions.

Abstract: Aspects of the subject disclosure may include, for example, capturing digital data of a mobility network site, forming as-built conditions for the mobility network site, wherein the digital data includes imagery and measurements of the site, generating a three-dimensional (3D) building information modeling (BIM) model of the mobility network site based on the as-built conditions for the mobility network site, comparing the 3D BIM model with design specifications to identify discrepancies between the as-built conditions and the design specifications, updating a database with the 3D BIM model and identified discrepancies to create a digital record of the as-built conditions of the mobility network site, and providing access to the digital record to authorized personnel for use in scoping, design, and quality assurance processes for mobility network site installations and equipment. Other embodiments are disclosed.