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

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

• retrieving by a computing device, a 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, a provider located within the geolocation of the user, wherein the provider generates a plurality of refreshment possibilities;
• determining by the computing device, the compatibility of the plurality of refreshment possibilities utilizing the biological extraction and the nutritional machine-learning model;
• determining by the computing device, an incompatible refreshment possibility;
• proposing by the computing device, a modification to the incompatible refreshment possibility to improve the compatibility;
• and
• displaying by the computing device, the compatibility of the plurality of refreshment possibilities.