Coding challenge to make a model that helps identify relevant projects for a contractor from a database of a city's construction projects, primarily working with paragraph of text incorporating NLP models.
Contractor only works on projects that are greater than 50k sq feet, non-residential aka commercial, and large-scale development. Filter out dataset and score projects on relevancy per those conditions listed above for the contractor Pick/Create a Model to complete this task and explain the thought process behind it, can use machine learning to train a model if like.