Methods and systems for customizing informed advisor pairings

A method of customizing informed advisor pairings, the method comprising:

• generating, by a computing device, a first machine-learning model, wherein the first machine-learning model comprises a trained machine-learning model trained by physiological training data including a plurality of pairs of physiological data sets and user features and wherein the first machine-learning model is configured to receive a physiological data set associated with a user as an input and output a user feature associated with a user including an internal physical measurement of the user as a function of correlating the plurality of pairs of physiological data sets and user features of the physiological training data;
• generating, by the computing device, a second first machine-learning model, wherein the second machine-learning model comprises a trained machine-learning model trained by element training data including a plurality of user features and a plurality of correlated advisor elements and, wherein the first machine-learning model is configured to receive the user feature associated with the user as an input and output a plurality of advisor elements as a function of the correlations between the plurality of user features and a plurality of correlated advisor elements;
• receiving, by the computing device, at least an informed advisor element relating to an informed advisor;
• and
• displaying, on a graphical user interface, a compatibility of the informed advisor with the user based upon a comparison of the plurality of advisor elements to the at least an informed advisor element to determine.