Meal Plan Management

• US 20100136508A1
• Filed: 10/23/2009
• Published: 06/03/2010
• Est. Priority Date: 10/23/2008
• Status: Abandoned Application

• Current Assignee: Keas, Inc. (Red Intermediate Co. LLC)
• Original Assignee: Keas, Inc. (Red Intermediate Co. LLC)
• Inventors: Zekhtser, Damir
• Application Number:
  US12/604,872
• Publication Number:
  US 20100136508A1
• Time in Patent Office: Days
• US Class Current: 434/127
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

A meal plan is generated based on user health data, goals and other information. The data regarding user health goals, eating habits, current health condition, and eating preferences is accessed. A user meal plan is then generated based on at least a portion of the accessed information. The meal plan may be modified based on user selected substitutions, automatically generated substitutions, or in some other manner. When the meal plan is modified, information related to the meal plan is updated.

Claims

1. A method for generating a meal plan for a user, comprising:

executing instructions stored in memory, wherein execution of the instructions by a processor;

collects health data from a user,

accesses the collected user health data,

generates a meal plan based on the collected user health data, wherein the meal plan includes nutritional statistics about one or more components of a meal; and

displaying the generated meal plan on an interface of a client device.

2. The method of claim 1, further comprising modifying the meal plan by substituting one or more meals of the meal plan with an alternative meal.

3. The method of claim 2, wherein the alternative meal is randomly selected.

4. The method of claim 2, wherein the alternative meal is selected based on user feedback.

5. The method of claim 1, further comprising modifying the meal plan by adding one or more meals to the meal plan, the added meal based on user feedback.

6. The method of claim 1, wherein the meal plan further includes a suggested exercise routine associated with the daily meal plan.

7. The method of claim 1, wherein the meal plan includes one or more indicators of a health level, the health level indicating whether the meal plan is healthy, somewhat healthy, or unhealthy.

8. The method of claim 7, wherein the health level is based on the health condition of the user.

9. The method of claim 6, wherein the meal plan further includes a predicted weight gain by the user when the suggested exercise routine is not performed.

10. A system for generating a meal plan for a user, comprising:

a data store configured to store user health data, and

a coaching engine stored in memory and executable by a processor to;

collect user health data from a user,

access the collected user health data,

process the accessed user health data; and

generate a meal plan for the user based on the user health data, wherein the meal plan includes nutritional statistics about one or more components of a meal.

11. The system in claim 10, wherein the coaching engine is configured to calculate a nutritional statistic associated with a component of a meal.

12. The system in claim 10, wherein the coaching engine is configured to determine a health level associated with a meal, the health level based on a health condition of the user.

13. The system in claim 10, wherein the coaching engine is configured to modify the generated meal plan based on user input.

14. The system of claim 10, wherein the coaching engine is configured to send an alert to the user, the alert indicating the current health level of the meal plan.

15. A computer-readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for generating a meal plan for a user, the method comprising:

collecting health data from a user,

accessing the collected user health data,

generating a meal plan based on the collected user health data, wherein the meal plan includes nutritional statistics about one or more components of a meal; and

displaying the generated meal plan on an interface of a client device.