Methods and systems for generating a supplement instruction set using artificial intelligence

A system for generating a supplement instruction set using artificial intelligence, the system comprising:

• a computing device;
• a diagnostic engine operating on the computing device, the diagnostic engine designed and configured to:
• record a biological extraction pertaining to a user;
• receive a user physiological history input;
• receive a first training set including at least an element of physiological state data and at least a correlated first prognostic label;
• and
• generate a diagnostic output utilizing a first machine-learning process trained by the first training set, as a function of the biological extraction pertaining to the user and the user physiological history input;
• a plan generator module operating on the computing device, the plan generator module designed and configured to generate a nutrition instruction set, wherein generating the instruction set comprises:
• training a second machine-learning process utilizing a second training set, the second training set including at least a biological extraction and user physiological history correlated to at least a nutrition instruction set;
• and
• generating the nutrition instruction utilizing the diagnostic output from the first machine-learning process as an input to the second machine-learning process;
• and
• a supplement generator module operating on the computing device, the supplement generator module designed and configured to calculate a supplement instruction set utilizing the diagnostic output, the nutrition instruction set, and nutritional availability, wherein nutritional availability measures the nutrition instruction set's availability as a function of a geographical location.