Systems and methods for multi-parameter and personalized dietary recommendations

A method of providing personalized dietary recommendations based on multiple parameters, the method comprising:

• receiving a user selection of at least a choice of food item;
• prompting the user to select a food item that the user ingested along with a time, a date, and a serving size of the ingestion;
• prompting the user to input the user's details relating to at least one of height data, weight data, age data, gender data, location data, ethnicity data, genomic data, genetic data, and pertinent body data;
• reading and storing a metabolic profile of the user;
• creating a taste profile for each food item, wherein, each food item is defined by taste vectors and stored in a taste-related storage device, each of the taste vectors being correlated to a food item;
• correlating a first synthesized profile of the user with a taste profile of a food item to determine a score of relevancy of taste for the user with respect to the food item;
• creating a satiety profile for each food item, wherein, each food item is defined by satiety vectors and stored in a satiety-related storage device, each of the satiety vectors being correlated to a food item;
• correlating a second synthesized profile of the user with a satiety profile of a food item to determine a score of relevancy of satiety for the user with respect to the food item;
• creating a health profile for each food item, wherein, each food item being defined by health vectors and stored in a health-related storage device, each of the health vectors being correlated to a food item;
• correlating a third synthesized profile of the user with a health profile of a food item to determine a score of relevancy of health for the user with respect to the food item;
• and
• recommending a food item output from the first storage device based on the first, second, and third synthesized profile for the user.

A system, comprising:

• a first storage device storing content items of a food item;
• a second storage device storing content items of calorific value of the food items;
• a third storage device storing content items of geographic location of the food item;
• an attribute manager configured to determine and store attribute-related content items pertaining to the food item;
• a first selector configured to prompt a user to select a choice of food item pertinent to the user;
• a second selector configured to prompt a user to select an ingested food item with time, date, and serving size of ingesting;
• an inputter configured to prompt a user to input the user's details relating to at least one of height data, weight data, age data, gender data, location data, ethnicity data, genomic data, genetic data, and pertinent body data, wherein, the inputter includes a wearable configured to provide a distributed node for receiving input;
• a metabolic profiler configured to read and store a metabolic profile of the user;
• a taste parameter configuration engine configured to create a taste profile for the food item, wherein the food item is defined by taste vectors stored in a taste-related storage device;
• a first correlation engine configured to correlate a first synthesized profile of the user with a taste profile of the food item to determine a score of taste relevancy for the user with respect to the food item;
• a satiety parameter configuration engine configured to create a satiety profile for the food item, wherein the food item is defined by satiety vectors and stored in a satiety-related storage device;
• a second correlation engine configured to correlate a second synthesized profile of the user with a satiety profile of the food item to determine a satiety score for the user with respect to the food item;
• a health parameter configuration engine configured to create a health profile for the food item defined by health vectors and stored in a health-related storage device;
• a third correlation engine configured to correlate a third synthesized profile of the user with a health profile of the food item to determine a health score for the user with respect to the food item;
• and
• a recommendation engine configured to provide a food item output from the first storage device based on outputs from the first correlation engine, the second correlation engine, and the third correlation engine.

A computerized health recommendation system, comprising:

• a storage device storing a plurality of food items, calorific values of the food items, geographic locations each associated with the food items, and a metabolic profile of a user;
• a computer processor configured to,
• prompt the user to select a choice of food item,
• prompt the user to select an ingested food item with time, date, and serving size of ingesting,
• receive input from the user of at least one of height data, weight data, age data, gender data, location data, ethnicity data, genomic data, genetic data, and pertinent body data,
• create a taste profile for the chosen food item defined by taste vectors,
• correlate a first synthesized profile of the user with the taste profile to determine a taste score for the user with respect to the chosen food item,
• create a satiety profile for the chosen food item defined by satiety vectors,
• correlate a second synthesized profile of the user with the satiety profile to determine a satiety score for the user with respect to the chosen food item,
• create a health profile for the chosen food item defined by health vectors,
• correlate the third synthesized profile with the health profile of the chosen food item to determine a health score for the user with respect to the chosen food item, and
• recommend a food item output from the storage device based on a match between the taste score, the satiety score, and the health score.