Methods and systems for multi-factorial physiologically informed refreshment selection using artificial intelligence

A method for multi-factorial physiologically informed refreshment selection using artificial intelligence the method comprising:

• retrieving, by a computing device, biological extraction pertaining a user, wherein the biological extraction contains an element of user data;
• selecting, by the computing device, a nutritional machine-learning model using the biological extraction;
• determining, by the computing device, a geolocation of the user;
• identifying, by the computing device, one or more providers located within the geolocation of the user;
• generating, by the computing device, a plurality of refreshment possibilities as a function of the one or more providers;
• determining, by the computing device, the compatibility of the plurality of refreshment possibilities utilizing the biological extraction and the nutritional machine-learning model, wherein the compatibility comprises a numerical score associated with a tolerance of the user;
• and
• displaying, by the computing device, the compatibility of the plurality of refreshment possibilities.