US Patent 10990884 Methods and systems for identifying compatible meal options

A system for identifying compatible meal options. The system includes a body analysis module configured to receive a user biological marker, select a clustering dataset from a clustering database, generate a hierarchical clustering algorithm and assign a plurality of user body measurements to a first classified dataset cluster. The system includes a food analysis module configured to select a food training set from a food database, generate using a supervised machine-learning process a food model, generate a food tolerance instruction set, and display on a graphical user interface the food tolerance instruction set. The system includes a menu generator module configured to select a menu training set from a menu database, generate using a supervised machine-learning process a menu model that produces an output containing a plurality of menu options, and display on a graphical user interface the plurality of menu options. The system includes a local selector module configured to receive a plurality of meal option inputs from a meal preparer device, generate a k-nearest neighbors algorithm, identify a plurality of compatible meal options, and display the plurality of compatible meal options on a graphical user interface.