Methods and systems for personal recipe generation

A method of personal recipe generation, the method comprising:

• receiving, by a computing device, a target profile relating to a user, wherein the target profile identifies a nutrient target computed for a measured time interval;
• locating, by the computing device, in a lexicon of ingredients, wherein the lexicon associates a plurality of ingredient identifiers to a plurality of ingredient impacts and a plurality of semantic units, a first ingredient identifier including a first ingredient impact and a first semantic unit, wherein the first ingredient impact is determined as a function of a user's biological extraction;
• comparing, by the computing device, the first ingredient impact to the target profile;
• and
• generating, by the computing device, a personal recipe, wherein generating the personal recipe further comprises:
• locating in the lexicon, a second ingredient identifier, wherein the second ingredient identifier includes a second ingredient impact and a second semantic unit;
• comparing the second ingredient impact to the first ingredient impact and the target profile;
• training a machine learning model using training data, wherein the training data correlates a user target profile and a biological extraction of a user to a personal recipe;
• and
• generating the personal recipe as a function of the, the machine learning model, wherein the machine learning model inputs a user target profile and a biological extraction of a user and outputs a personal recipe.