Systems and methods for generating personalized nutritional recommendations

A system for assisting a plurality of users with their nutritional needs, the system comprising:

• a server in communication with a plurality of computing devices and a database;
• and
• a memory storing instructions that, when executed by the server, causes the server to perform operations comprising:
• obtaining, from each of the computing devices, a plurality of physiological and food consumption inputs associated with a user of the corresponding computing device;
• obtaining, from the database, a food ontology comprising information on a plurality of different food items;
• generating, for each of the users, a plurality of constraints specific to the user based on (1) the plurality of physiological and food consumption inputs and (2) the food ontology, wherein the plurality of constraints comprises (i) health constraints, (ii) nutrient constraints and (iii) dietary norms;
• applying the plurality of constraints to an optimization algorithm to generate a graphical visual object representative of a food space;
• and
• determining and recommending one or more optimal diets for each of the users, based on selection of one or more points on the graphical visual object within the food space that satisfy the plurality of constraints.

A non-transitory computer-readable medium including instructions that, when executed by a server, cause the server to perform operations comprising:

• obtaining, from each of a plurality of computing devices, a plurality of physiological and food consumption inputs associated with a user of the corresponding computing device;
• obtaining, from the database, a food ontology comprising information on a plurality of different food items;
• generating, for each of the users, a plurality of constraints specific to the user based on (1) the plurality of physiological and food consumption inputs and (2) the food ontology, wherein the plurality of constraints comprises (i) health constraints, (ii) nutrient constraints and (iii) dietary norms;
• applying the plurality of constraints to an optimization algorithm to generate a graphical visual object representative of a food space;
• and
• determining and recommending one or more optimal diets for each of the users, based on selection of one or more points on the graphical visual object within the food space that satisfy the plurality of constraints.