Methods and systems for timing impact of nourishment consumption

A method for timing impact of nourishment consumption using a computing device, the method comprising:

• receiving, by a computing device, training data comprising physiological data, correlated to current nutrient levels of a subject, wherein physiological data comprises food intolerances of a subject;
• training, by the computing device, a nutrient machine-learning model using the training data;
• generating, by the computing device, a nutrient profile of the subject utilizing the nutrient machine-learning model, wherein the nutrient machine-learning model is configured to:
• receive a nutritional input;
• determine relationships between consumption of particular alimentary elements and the concentration of nutrients in physiological data;
• and
• output the nutrient profile comprising a nutritional deficiency;
• determining, using the nutrient profile, a nourishment consumption program, wherein the nourishment consumption program includes:
• at least an alimentary element;
• and
• a consumption pattern for consuming the at least an alimentary element, wherein:
• the consumption pattern includes a time of day;
• and
• the time of day is determined as a function of the nutrient profile and the current nutrient levels of the subject;
• providing, to the subject, the nourishment consumption program, wherein providing the nourishment consumption program further comprises:
• providing a representation of the nourishment consumption program to a user device of the subject in the form of an audiovisual notification;
• linking the nourishment consumption program to a calendar application of the user device of the subject;
• and
• setting timed reminders on the user device of the subject to consume at least one alimentary element as a function of a current location of the subject;
• determining, by the computing device, defined time intervals using reactive computing, wherein the reactive computing comprises a model-view-controller architecture;
• receiving a set of nutrition consumption data of the subject as a function of the nourishment consumption program;
• generating, by the computing device using the reactive computing, an updated nutrient profile as a function of the set of nutrition consumption data and the defined time intervals;
• and
• providing, to the subject, an updated consumption pattern of the nourishment consumption program as a function of the set of nutrition consumption data and the updated nutrient profile at each defined time interval.