INDIVIDUALIZED MEAL KIT WITH REAL-TIME FEEDBACK AND CONTINUOUS ADJUSTMENTS BASED ON LIFESTYLE TRACKING
The present disclosure describes example systems, methods, and computer-readable medium for dynamic meal planning. A meal planning system can include one or more processors configured to obtain exercise data, meal data, health data, user preference data, and/or other data; determine a health score based at least in part on the exercise data and/or the meal data; generate a user-specific meal kit based at least in part on the exercise data, the meal data, the health data, the user preference data, the other data and/or the health score; and communicate an indication of the user-specific meal kit.
1 . A method for dynamic meal planning, the method comprising:
by one or more processors configured with computer-readable instructions,
obtaining exercise data, meal data, health data, user preference data, and/or other data associated with a user;
determining a health score based at least in part on the exercise data and/or the meal data;
generating a user-specific meal kit based at least in part on the exercise data, the meal data, the health data, the user preference data, the other data and/or the health score; and
communicating an indication of the user-specific meal kit.
2 . The method of claim 1 , wherein the user-specific meal kit comprises at least one of a list of ingredients or a recipe for a particular meal or a particular set of meals.
3 . The method of claim 2 , wherein the user-specific meal kit includes at least one food or at least one ingredient with at least one medicinal property that may positively affect a health condition associated with the user.
4 . The method of claim 1 , wherein the user-specific meal kit includes an indication of at least one food or at least one recipe.
5 . The method of claim 1 , wherein the meal data can include a menu.
6 . The method of claim 5 , wherein the indication the user-specific meal kit can include a suggested meal selected from the menu.
7 . The method of claim 6 , wherein the suggested meal is a meal that fits within dietary needs of the user.
8 . A method for health management, the method comprising:
by one or more processors configured with computer-readable instructions,
receiving a scan of at least one of a menu or recipe;
processing the scan to identify one or more meals and/or ingredients for the one or more meals;
selecting at least one of the one or more meals as a suggested meal; and
outputting an indication of the suggested meal to a user.
9 . The method of claim 8 , wherein the suggested meal is a meal that fits within dietary needs of the user.
10 . The method of claim 8 , wherein the suggested meal is a meal that has a highest health score, as compared to other meals of at least one of the menu or the recipe.
11 . The method of claim 8 , wherein processing the scan comprises analyzing content on social media applications to identify or estimate ingredients, calories, nutrients, or vitamins.
12 . The method of claim 11 , wherein the social media applications are one or more of a web site or cooking community forum, recipe sharing forum, restaurant web site, or food tracker or weight loss applications or databases.
13 . The method of claim 8 , wherein the suggested meal includes at least some foods or ingredients with medicinal properties that may positively affect a health condition associated with the user.
14 . A system for dynamic meal planning, the system comprising:
at least one sensor configured to measure a plurality of physiological data;
a plurality of exercise data, meal data, health data, user preference data, and/or other data associated with a user; and
one or more processors configured to analyze the plurality of exercise data, meal data, health data, user preference data, physiological data, and/or other data, determine a user-specific meal kit, and provide an indication of the user-specific meal kit to the user.
15 . The system of claim 14 , wherein the user input includes at least one of:
a plurality of user preference data;
a plurality of nutrition data;
a plurality of health data; and
a plurality of other data.
16 . The system of claim 14 , wherein the plurality of user preference data includes at least one of:
a plurality of historical meal logging data; and
a plurality of food preference data.
17 . The system of claim 14 , wherein the plurality of nutrition data includes at least one of:
a plurality of meal data; and
a plurality of activity data.
18 . The system of claim 14 , wherein the plurality of health data includes at least one of:
a plurality of medical history data; and
a plurality of physiological parameters.
19 . The system of claim 14 , wherein the plurality of other data includes at least one of:
a plurality of time of year data;
a plurality of weather data;
a plurality of location data; and
a plurality of family data.
20 . The system of claim 14 , wherein the system is further configured to output a suggested meal based on the plurality of data and the plurality of physiological data.
21 . The system of claim 14 , wherein the plurality of data further includes a plurality of unknown data, wherein the system is further configured to estimate the plurality of unknown data.