FIELD OF THE INVENTION
The invention relates to the field of nutritional deficiencies and diet and more particularly to a method and system for detecting nutritional deficiencies and suggesting a diet, exercise and stress reduction plan using artificial intelligence.

BACKGROUND OF THE INVENTION
Good nutrition is an important part of leading a healthy lifestyle. Combined with physical activity, the diet can help one to reach and maintain a healthy weight, reduce your risk of chronic diseases (like heart disease and cancer) and promote overall health.

Malnutrition and obesity are very common problems faced in the society due to hectic lifestyle. Lack of awareness as well as time, are both responsible for inadequate nutritional and mineral uptake of the body.

Moreover, very few expecting mothers have access to a standardized, reliable source for dietary requirements and exercise regimes, which are needed during different trimester of pregnancy. Inadequate nutrition, especially early in the pregnancy, may impair fetal brain development and cause abnormalities in endocrine functioning, organ development and the energy metabolism of fetus. Lack of sufficient nutrition leads to risk like iron deficiencies (anemia), insufficient growth of fetus, low Birth Weight and neurological disorders.

Along with dietary and physical recommendations, stress management is also an important part of civilization healthy lifestyle. Due to increased workload and personal issues, the problem of developing stress and depression is ubiquitous. Developments of stress conditions adversely affect health and wellness of an individual. The human body cannot achieve an optimum level of health and fitness without the mind being of a centered and balanced nature. As mental rest & relaxation is one of the seven key components of good health and fitness, it is important to become familiar with the approaches and techniques associated with balancing the mind. These three elements, viz diet, exercise and stress are inter-related and it is equally important to manage and balance and attain healthy lifestyle.

Dietitians and nutritionists prepare personalized diet plans for individuals. It is cost prohibitive for many individuals and households to consult with them. These professionals are also not readily available in semi-urban and rural areas. Therefore, most individuals or facilities rely on conventional wisdom or use websites with limited information or static templates. Conventional systems also fail to detect nutritional deficiencies before providing a diet plan. Therefore, there is a need in the art for an efficient, user-friendly, cost-effective method and system for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations. An artificial intelligence based approach that can be used directly by the patient or with assistance from a health worker, ameliorates all or some of the deficiencies of the prior art or at least provides a viable alternative.

OBJECT OF THE INVENTION
It is an object of the present invention to provide a method for detecting nutritional deficiencies using artificial intelligence.

One more object of the present invention to provide a system for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence.

Another object of the present invention to provide a method and system for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence that is cost-effective and user-friendly

SUMMARY OF THE INVENTION
Embodiments of the present invention aim to provide a user-friendly and cost effective method and system for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence. Moreover, the present invention provides a system, which is easily accessible to individuals of all economic background.

According to the invention, a method for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations, using artificial intelligence, is provided. The method, comprises steps of, but not limited to, receiving and storing plurality of input elements in a control module, comparing the plurality of input elements via artificial intelligence with information stored in an information database, providing one or more recommended attributes by an output module for the plurality of input elements and displaying one or more recommended attributes on a display unit connected with a user device.

In accordance with embodiment of the invention, the database comprises predetermined standard values of each of the plurality of input elements of the control module.

In accordance with embodiment of the invention, the plurality of input elements is selected from a group consisting of, demographic information, basic health questions, body mass index (BMI), pregnancy details and symptoms.

In accordance with embodiment of the invention, the demographic information is selected from a group consisting of country, religion, gender, age and income.

In accordance with embodiment of the invention, the basic health questions are selected from a group consisting of, height, weight, physical activity, goal, diet type and allergies.

In accordance with embodiment of the invention, the symptoms are selected from a group consisting of skin problem, hair problem, vision problem, bone and joint problem, strength or growth problem and mobility.

In accordance with embodiment of the invention, the step of comparing the plurality of input elements further comprises the steps of using artificial intelligence to determine a diet plan with the highest probability based on plurality of input elements and selecting that diet plan if its probability exceeds a pre-determined threshold probability and using artificial intelligence to determine the probability of each nutritional deficiency from plurality of symptoms received. The deficiencies whose probability is above a pre-determined threshold are selected.

In accordance with embodiment of the invention, the deficiencies are selected from a group consisting of common multi-vitamin and mineral deficiencies

In accordance with embodiment of the invention, the one or more recommended attributes are displayed from the group consisting of, diet plan, exercise plan and stress management, based on selected diet plan, selected nutritional deficiencies and pregnancy status

In accordance with embodiment of the invention, a system for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence comprises, but not limited to, a control module connected with a user device and an information database, an output module connected with the control module and a display unit connected with a user device. Further, the control module is configured to receive a plurality of input elements. Further, the information database is configured to store predetermined standard values of the input elements. Further, an output module is configured to provide one or more recommended attributes based on the respective predetermined values. Further, the display unit is configured to display one or more recommended attributes.
In accordance with an embodiment of the invention, the plurality of attributes are selected from the group consisting of, diet plan, exercise and stress management.

In accordance with an embodiment of the invention, the plurality of input elements are selected from a group consisting of, demographic information, basic health questions, body mass index (BMI), pregnancy details and symptoms.

In accordance with an embodiment of the invention, the demographic information is selected from a group consisting of country, religion, gender, age and income.

In accordance with an embodiment of the invention, the basic health questions are selected from a group consisting of height, weight, physical activity, goal, diet type and allergies.

In accordance with an embodiment of the invention, the symptoms are selected from a group consisting of skin problems, hair problems, vision problems, bone and joint problems, strength or growth problems and mobility.

In accordance with an embodiment of the invention, the display unit connected to the user device is selected from the group consisting of, a mobile handheld device, a laptop, a desktop pc and a tablet.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
So that the manner in which the above recited features of the present invention can be understood in detail, a more particular to the description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawing. It is to be noted, however, that the appended drawing illustrate only typical embodiments of this invention and are therefore not to be considered limiting of its scope, the invention may admit to other equally effective embodiments.
These and other features, benefits and advantages of the present invention will become apparent by reference to the following text figure, with like reference numbers referring to like structures across the views, wherein:
Fig. 1 illustrates an exemplary environment diagram, in accordance with an embodiment of the present invention;
Fig. 2 illustrates a method for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction related recommendations using artificial intelligence, in accordance with an embodiment of the present invention;
Fig. 3 a flowchart explaining working of the system, in accordance with an embodiment of the present invention;

Fig. 4 a system for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence, in accordance with an embodiment of the present invention;

Fig. 5 illustrates a complete sample of recommended results, in accordance with an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
The present invention is described hereinafter by various embodiments with reference to the accompanying drawing, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only, and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary, and are not intended to limit the scope of the invention. As used throughout this description, the word "may" is used in a permissive sense (i.e. meaning having the potential to), rather than the mandatory sense (i.e. meaning must). Further, the words "a" or "an" means "at least one” and the word “plurality” means “one or more” unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including", "comprising", "having", "containing", or "involving" and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the likes are included in the specification solely for the purpose of providing a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.
The present invention is described hereinafter by various embodiments with reference to the accompanying drawing, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only, and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary, and are not intended to limit the scope of the invention.
Referring to the drawings, the invention will now be described in more detail. As shown in figure 1, the environment (100) comprises a user device (140) connected to an information database (130) through a network (120) by any suitable means, such as, for example, hardwired and/or wireless connections, such as dial-up, hardwired, cable, Digital Subscriber Line (DSL), satellite, cellular, Personal Communications Service (PCS), wireless transmission. Further, the user device (140) is selected from the group, but not limited to, a mobile handheld device, a laptop, a desktop pc and a tablet. Further, the user (140) device comprises a display unit (110). The user device (140) is configured to represent data in human understandable language on the display unit (110). The display unit (110) is one of, but not limited to, an LCD screen and/or an LED screen.
In accordance with embodiment of the present invention, the database (130) comprises predetermined standard values of each of the plurality of input elements of the control module (510). Further, the plurality of input elements of the control module (510) are selected from the group comprising of, but not limited to, demographic information, basic health questions, body mass index (BMI), pregnancy details, type of diet, food allergies and symptoms. Further, the demographic information is selected from the group comprising of, but not limited to, country, religion, gender, age and income. Further, age groups selected are, but not limited to, 0-6 months, 6 months – 2 years, 2 years, 3-4 years, 5-9 years, 10-14 years, 15-19 years, 20-29 years, 30-39 years, 40-49 years, 50-59 years. Further, gender is selected from, but not limited to, male and female. Further, value of physical activity is selected from, but not limited to, low (<30 mins/day), medium (30-60 mins/day) and high (>60 mins/day). Further, body mass index (BMI) is measure of body fat that is the ratio of the weight of the body in kilograms to the square of its height in meters.
In accordance with embodiment of the present invention, basic health questions are selected from a group consisting of height, weight, physical activity, goal, diet type and allergies. Further, the type of diet is selected from, but not limited to, vegetarian and non-vegetarian.
In accordance with embodiment of the present invention, the basic health questions are selected from a group consisting of, but not limited to, height, weight, physical activity, goal, diet type and allergies. Further, allergies can be due to consumption of, but not limited to, milk, eggs, peanuts, tree nuts, soy, wheat/gluten, fish and shellfish. Further, the goal is, but not limited to, lose weight gain weight, eat healthy and pregnancy diet.
In accordance with embodiment of the present invention, the symptoms are selected from a group consisting of, but not limited to, various skin problems, hair problems, vision problems, bone and joint problems, strength or growth problems and mobility. Further, the skin problem is selected from a group consisting of, but not limited to, dry skin/hair, itching, rashes, pale skin, skin lesions, dark patches on underarms and eczema. Further, the hair problem is selected from the group consisting of, but not limited to, hair loss and gray hair. Further, vision problem is selected from a group consisting of, but not limited to, night blindness, blurred vision and dryness of conjunctiva/cornea. Further, the bone and joint problem is selected from a group consisting of, but not limited to, abnormal formation of bones and teeth, weaker bones, bowed legs, hip/spine/other osteoporosis related fractures, low bone mass, dental caries and necrosis of cartilage. The strength or growth problem is selected from a group consisting of, but not limited to, fatigue/weakness/lethargy, stunted growth, loss of sensation in hands/feet, altered muscle coordination, loss of muscle function, difficulty walking, shortness of breath, nerve degeneration/paralysis, atrophy and anorexia.
In accordance with an embodiment of the present invention, the symptoms can also be selected from, but not limited to, alcohol abuse, sensitivity to cold temp, tingling, speech difficulty , diarrhea , impaired immune function, convulsion, Mouth sores, tongue swelling, delayed wound healing, internal bleeding, impaired clotting of blood, abnormal heart rhythm, enlarged gland, reduced taste/smell, poor appetite, low sperm count, impotence, distended abdomen, liver enlargement, sweet odor in breath, fat around waist and irregular period.
Figure 2 illustrates a method (200) a method for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence. The method (200) begins at step 210, by receiving and storing plurality of input elements in a control module (510). The plurality of input elements are selected from a group consisting of, but not limited to demographic information, basic health questions, body mass index (BMI), pregnancy details and symptoms.
At step 220, comparing the plurality of input elements with information stored in an information database (130), further comprises the steps of using artificial intelligence to determine a diet plan with the highest probability based on plurality of input elements from a group consisting of, demographic information, basic health questions, body mass index (BMI) and selecting that diet plan if its probability exceeds a pre-determined threshold probability.

Using artificial intelligence to determine the probability of nutritional deficiencies from a plurality of input symptoms received and selecting deficiencies whose probability exceeds a pre-determined threshold probability.
In accordance with embodiment of the invention, the deficiencies are selected from a group consisting of common multi-vitamin and mineral deficiencies

At step 230, providing one or more recommended attributes by an output module (520) for the plurality of input elements. One or more recommended attributes are selected from, diet plan, exercise plan and stress management based on selected diet plan, selected nutritional deficiencies and pregnancy status. As shown in figure 3, the flowchart explains that if probability of diet plan determined by artificial intelligence is below the pre-determined threshold value then it shows “not supported” status. Further, the suggested diet plan includes quantity of, but not limited to, grains, vegetables, fruits, dairy, protein to be consumed daily, recommended food items for each group and total daily calories

At step 240, displaying the one or more recommended attributes on a display unit (110) connected with a user device (140).

In accordance with an embodiment of the present invention, the method of comparing (220) the plurality of input elements, the user starts at step 221 by, determining the deficiencies related to plurality of input elements received via artificial intelligence. If nutritional deficiencies are found to be present then additional food items in the diet have been added, otherwise no addition is done as shown in figure 3. Further, if person is a pregnant woman then change in diet plan is done based on current trimester otherwise no change in diet plan is observed. The information database (130) changes the diet food items and exercise regimes based on above-mentioned information.

At step 222, matching a probability of said deficiencies with the respective predetermined values of the information database (130) using artificial intelligence. Further, the deficiencies are selected from a group consisting of, but not limited to, multi-vitamin deficiency and mineral deficiency. Further, multi-vitamin deficiency is, selected from a group consisting of, but not limited to, vitamin A, vitamin B1, vitamin B3, vitamin B6, vitamin B7 (Biotin), vitamin B9 (Folate), vitamin B12, vitamin C, vitamin D and vitamin K. Further, mineral deficiency is, selected from a group consisting of, but not limited to, fluoride, iodine, iron, selenium, zinc.

In accordance with an embodiment of the present invention, figure 4 illustrates a system (500) for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations. As shown in figure 4, the system (500) comprises a control module (510) connected with a user device (140) and an information database (130), an output module (520) connected with the control module (510) and a display unit (110) connected with a user device (140).

Further, control module (510) is configured to receive and store plurality of input elements. Further, the information database (130) comprises predetermined standard values of each of the plurality of input elements.

In accordance with an embodiment of the invention, the system (500) is further configured to provide attributes from output unit (520). Further, one or more recommended attributes, which are displayed on a display unit (110) connected with the user device (140).

In accordance with an embodiment of the present invention, figure 5 illustrates complete sample recommendation based on plurality of input elements. The pluralities of input elements are shown which are processed in control module (510) and further result or recommended attributes, which were generated using artificial intelligence, are shown on the display unit (110). Further, the display unit (110) connected with the user device (140). The display unit (110) shows diet plan (dairy, fruit, grain and protein), additional nutrients (iron and vitamin B9) added in case of confirmation of pregnancy, exercise plan and stress management techniques.

The method and the system described above offer a number of advantages. All the recommendations are easily accessible to user without even visiting dietician or consultant. The system of present invention provides an easy approach to individuals preventing them from paying heavy consultancy and diagnostic fee. Moreover, the method and system of present invention is efficient and reliable as it covers almost all the health related parameters to calculate the mentioned attributes.

Various modifications to these embodiments are apparent to those skilled in the art from the description and the accompanying drawings. The principles associated with the various embodiments described herein may be applied to other embodiments. Therefore, the description is not intended to be limited to the embodiments shown along with the accompanying drawings but is to be provided broadest scope consistent with the principles and the novel and inventive features disclosed or suggested herein. Accordingly, the invention is anticipated to hold on to all other such alternatives, modifications, and variations that fall within the scope of the present invention and appended claims.

Claims:We Claim:
1. A method (200) for detecting nutritional deficiencies and suggesting diet, exercise and stress reduction recommendations using artificial intelligence, wherein the method comprising the steps of:
receiving (210) and storing plurality of input elements in a control module (510);
comparing (220) said plurality of input elements via artificial intelligence with information stored in an information database;
providing (230) one or more recommended attributes by an output module (504) for said plurality of input elements; and
displaying (240) said one or more recommended attributes on a display unit (110) connected with a user device (140).

2. The method (200) as claimed in claim 1, wherein said database comprises predetermined standard values of each of said plurality of input elements of said control module (510).

3. The method (200) as claimed in claim 1, wherein said plurality of input elements is selected from a group consisting of, demographic information, basic health questions, body mass index (BMI), pregnancy details and symptoms.

4. The method (200) as claimed in claim 3, wherein said demographic information is selected from the group consisting of country, religion, gender, age and income.

5. The method (200) as claimed in claim 3, wherein said basic health questions are selected from a group consisting of height, weight, physical activity, goal, diet type and allergies.

6. The method (200) as claimed in claim 3, wherein said symptoms are selected from a group consisting of various skin problems, hair problems, vision problems, bone and joint problems, strength or growth problems and mobility.

7. The method (200) as claimed in claim 1, wherein said step (220) of comparing said plurality of input elements further comprising the steps of:
determining (221) the deficiencies related to plurality of input elements received; and
matching (222) a probability of said deficiencies with the respective predetermined values using artificial intelligence.

8. The method (200) as claimed in claim 7, wherein said deficiencies are selected from a group consisting of common multi-vitamin deficiency and mineral deficiencies: Vitamin A, Vitamin B1, Vitamin B3, Vitamin B6, Vitamin B7, Vitamin B9, Vitamin B12, Vitamin C, Vitamin D, Vitamin K, Calcium, Fluoride, Iodine, Iron, Selenium, Zinc and Protein

9. The method (300) as claimed in claim 7, wherein said one or more recommended attributes are displayed from the group consisting of, diet plan, exercise plan and stress management based on selected diet plan, selected nutritional deficiencies and pregnancy status

10. A system (500) for detecting nutritional deficiencies and suggesting related recommendations using artificial intelligence, the system (500) comprising:
an control module (510) connected with a user device and an information database (130);
an output module (520) connected with said control module (510);and
a display unit (110) connected with a user device (140);
wherein said control module (510) is configured to receive a plurality of input elements;
wherein said information database (130) is configured to store predetermined standard values of said input elements;
wherein said an output module (520) is configured to provide one or more recommended attributes based on said respective predetermined values using artificial intelligence;
wherein said display unit (110) is configured to display one or more recommended attributes.

11. The system (500) as claimed in claim 11, wherein said plurality of attributes are selected from the group consisting of, diet plan, exercise and stress management.

12. The system (500) as claimed in claim 11, wherein said plurality of input elements are selected from a group consisting of, demographic information, basic health questions, body mass index (BMI), pregnancy details and symptoms.

13. The system (500) as claimed in claim 13, wherein said demographic information is selected from a group consisting of country, religion, gender, age and income.

14. The system (500) as claimed in claim 13, wherein said basic health questions are selected from a group consisting of height, weight, physical activity, goal, diet type and allergies.

15. The system (500) as claimed in claim 13, wherein said symptoms are selected from a group consisting of skin problem, hair problem, vision problem, bone and joint problem, strength or growth problem and mobility.

16. The system (500) as claimed in claim 11, wherein said display unit (110) connected to said user device (140) is selected from the group consisting of, a mobile handheld device, a laptop, a desktop pc and a tablet.