WO2021105861A1

WO2021105861A1 - System and method for recommending a nutraceutical composition to ameliorate health condition

Info

Publication number: WO2021105861A1
Application number: PCT/IB2020/061060
Authority: WO
Inventors: Abhimanyu Rishi; Kusum BHANDARI
Original assignee: Bhookhahaathi Hospitality Private Limited
Priority date: 2019-11-25
Filing date: 2020-11-24
Publication date: 2021-06-03

Abstract

A system for recommending a nutraceutical composition to ameliorate health condition is provided. The system includes a profile generation subsystem (30) which generates a user profile. The system also includes a health condition identification subsystem (60) which identifies one of disease type(s), deficiencies to be matched or a combination thereof, the user is bearing using artificial intelligence-based technique(s). The system also includes an extraction subsystem (70) which extracts composition(s) and proportion(s) upon referring to one of current medical prescription(s), current medication(s), or a combination thereof, of the user using the artificial intelligence-based technique(s). The system also includes a recommendation generation subsystem (80) which generates a list of recommended nutraceutical compositions based on one of the disease type(s) identified, the deficiencies to be matched, the composition(s) and proportion(s) extracted using the artificial intelligence-based technique(s) to ameliorate the health condition of the user.

Description

SYSTEM AND METHOD FOR RECOMMENDING A NUTRACEUTICAL COMPOSITION TO AMELIORATE HEALTH CONDITION

EARLIEST PRIORITY DATE:

This Application claims priority from a Provisional patent application filed in India having Patent Application No. 201941047996, filed on November 25, 2019 and titled “SYSTEM AND METHOD FOR RECOMMENDING A NUTRACEUTICAL COMPOSITION TO AMELIORATE HEALTH CONDITION”.

FIELD OF INVENTION

Embodiments of a present invention relate to nutraceutical compositions, and more particularly, to a system and method for recommending a nutraceutical composition to ameliorate health condition.

BACKGROUND

One of the major factors for a healthy life is dietary intake. Various studies depict that inappropriate and inadequate intake of the diet results in malnutrition which over a period of time causes various health issues and diseases. There is a plurality of ways in which people can have a healthy life and stay away from diseases.

The conventional approach is to plan and follow a proper intake of a daily diet. However, to have such a plan, people usually prefer to take doctor’ s recommendations which is time-consuming as people need to take doctor’s appointments at first and then reach out to the doctor for further process. Further, such limitation leads to additional expenses along with consultation charges such as traveling charges.

In one approach, a system for food analysis, personalized recommendations, and health management are proposed. The system determines the effect of intake of each of the food or ingredients of the food consumed on a glucose level of a user. The system, based on changes to the user’s glucose level, recommends the type of food to be consumed by the user without a doctor’s consultation. However, for overall health management, consumption of recommended food based on the user’s glucose level is insufficient as the system does not take into consideration other health conditions and user information which are very crucial to give a proper recommendation. Thus, making the system less efficient and less reliable. Also, since such a recommendation does not involve an expert’s / a doctor’s advice, the user may get false recommendations making usage of the system risky.

Further, in another approach, healthy life can be lived by consuming medications to supply essential vitamins, minerals, and the like, which the human body may have lost because of improper intake of the daily diet. Also, when a user is suffering from any diseases, medication is required to cure the diseases. However, the medications comprise various chemicals that are harmful to the human body which leads to causing various side effects to the user.

Hence, there is a need for an improved system and method for recommending a nutraceutical composition to ameliorate health condition which addresses the aforementioned issues.

BRIEF DESCRIPTION

In accordance with one embodiment of the disclosure, a system for recommending a nutraceutical composition to ameliorate health condition is provided. The system includes one or more processors. The system also includes a profile generation subsystem operable by the one or more processors. The profile generation subsystem is configured to generate a user profile upon receiving a plurality of inputs from a user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real-time. Further, the system also includes a health condition identification subsystem operable by the one or more processors. The health condition identification subsystem is configured to identify one of one or more disease types, one or more deficiencies to be matched, or a combination thereof, the user is bearing based on one of one or more current medical prescriptions, one or more current medications, or a combination thereof using one or more artificial intelligence-based techniques. The system also includes an extraction subsystem operable by the one or more processors. The extraction subsystem is configured to extract one or more compositions and proportions upon referring to one of one or more current medical prescriptions, one or more current medications, or a combination thereof, of the user using the one or more artificial intelligence-based techniques. Furthermore, the system also includes a recommendation generation subsystem operable by the one or more processors. The recommendation generation subsystem is configured to generate a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more artificial intelligence-based techniques to ameliorate the health condition of the user.

In accordance with another embodiment, a method for recommending a nutraceutical composition to ameliorate health condition is provided. The method includes generating a user profile upon receiving a plurality of inputs from a user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real-time. The method also includes identifying one of one or more disease types, one or more deficiencies to be matched, or a combination thereof the user is bearing based on one of one or more current medical prescriptions, one or more current medications, or a combination thereof using one or more artificial intelligence-based techniques. Further, the method also includes extracting one or more compositions and proportions upon referring to one of the one or more current medical prescriptions, the one or more current medications, or a combination thereof of the user using the one or more artificial intelligence-based techniques. The method also includes generating a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more artificial intelligence-based techniques to ameliorate the health condition of the user.

To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which: FIG. 1 is a block diagram representation of a system for recommending a nutraceutical composition to ameliorate health condition in accordance with an embodiment of the present disclosure;

FIG. 2 is a block diagram representation of an exemplary embodiment of the system for recommending a nutraceutical composition to ameliorate health condition of FIG.

1 in accordance with an embodiment of the present disclosure;

FIG. 3 is a block diagram of a recommendation generation computer or a recommendation generation server in accordance with an embodiment of the present disclosure; and FIG. 4 is a flow chart representing steps involved in a method for recommending a nutraceutical composition to ameliorate health condition in accordance with an embodiment of the present disclosure.

Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

DETAILED DESCRIPTION

For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure. The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.

In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

Embodiments of the present disclosure relate to a system for recommending a nutraceutical composition to ameliorate health condition. As used herein, the term “nutraceutical” is defined as a food or parts of a food, that provide medical or health benefits, including the prevention and treatment of diseases. Nutraceuticals may be used to improve health, delay the aging process, prevent chronic diseases, increase life expectancy, support the structure/ function of the body, or the like. Thus, the nutraceutical composition may be a composition of one or more ingredients which are the nutraceuticals. Basically, to maintain proper health conditions people use medicines such as allopathic, homeopathic, ayurvedic, or the like upon consultation of a doctor. However, such medicines may be processed and may include chemicals that might have side effects or might cause allergies to the people. Thus, such medicines may have to be replaced with a substitution that is much healthier, natural, free of chemicals, free from processing, or the like. The system as described hereafter in FIG. 1 is the system for recommending a nutraceutical composition to ameliorate the health condition which acts as a substitution for the above-said medicines. FIG. 1 is a block diagram representation of a system (10) for recommending a nutraceutical composition to ameliorate health condition in accordance with an embodiment of the present disclosure. The system (10) includes one or more processors (20). Initially, a reference inquiry form of a user may be needed to understand the health condition of the user. Thus, the system (10) also includes a profile generation subsystem (30) operable by the one or more processors (20). The profile generation subsystem (30) is configured to generate a user profile upon receiving a plurality of inputs from the user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real-time. The user profile generated may be used as the reference inquiry form which is stored in a database (as shown in FIG. 2) of the system (10). In one embodiment, the database includes a local database or a cloud database. The user profile may be used for future referral and to keep a track of an improvement in the health condition of the user in real-time.

In one embodiment, the plurality of inputs includes, but not limited to, one of a username, age, gender, one or more contact details, one or more current health issues, a duration for which the user is suffering from the one or more current health issues, an area of concern, a current medication type, a current medical prescription, a current medication duration, an effect of the current medical prescription on the user, latest tests conducted, test details, current follow-up details, a type of lifestyle, specific habits, preferred follow-up time slots, and the like, or a combination thereof. In one exemplary embodiment, the specific habits include smoking, alcohol consumption, chewing betel nuts, or the like. In one exemplary embodiment, the tests conducted may include a genetic test, a blood test, a urine test, or the like. Thus, the user profile may include one of a genotype profile, a phenotype profile, or a combination thereof based on the tests conducted.

In another embodiment, the plurality of inputs includes one or more perceptual inputs such as visual, auditory, neurological signals, and the like. In such embodiment, the one or more perceptual inputs are sensed via one or more sensors (40) such as a glucose sensor, a temperature sensor, a camera, a blood pressure monitoring sensor, or the like. Thus, the one or more perceptual inputs may include one or more vitals of the human body such as heart rate, glucose level, blood pressure, and the like. In one embodiment, the one or more sensors (40) may be associated with a body of the user in a form of a wearable, wherein the wearable may include, but not limited to, one of a wrist band, a headband, a suit, a foot band, and the like, or a combination thereof. In another embodiment, the one or more sensors (40) may be housed within or associated with a user device (50). In one exemplary embodiment, the user device (50) includes a mobile phone, a laptop, a tablet, or the like.

In one embodiment, the profile generation subsystem (30) is also configured to generate one or more additional profile attributes based on the plurality of inputs received in real-time. In such embodiment, the profile generation subsystem (30) may then generate the user profile upon receiving the one or more additional inputs corresponding to the one or more additional profile attributes. The one or more additional profile attributes may include one or more deterministic and probabilistic profile attributes.

Further, in one embodiment, the profile generation subsystem (30) is also configured to receive a confirmation from the user for the user profile generated via the user interface associated with the user device (50). In another embodiment, the profile generation subsystem (30) is also configured to send the user profile generated to the corresponding user via at least one communication means for verification of the user profile generated. In such embodiment, the user may review the user profile received and respond with a verification response, wherein the verification response includes an approval or a request for modification of the user profile received. In one embodiment, the at least one communication means includes a text message, an email, a pop-up message, or the like on the user interface of the user device (50).

Furthermore, the user may have to choose one of one or more available subscription plans displayed via the user interface on the centralized platform in order to use the system (10). Thus, in one embodiment, the system (10) includes a subscription-plan suggestion subsystem (as shown in FIG. 2) operable by the one or more processors (20). The subscription-plan suggestion subsystem is operatively coupled to the profile generation subsystem (30). The subscription-plan suggestion subsystem is configured to enable the user to choose one of the one or more available subscription plans via the user interface. In one embodiment, the user may choose one of the one or more available subscription plans before generating the user profile via the profile generation subsystem (30). In another embodiment, the user may choose one of the one or more available subscription plans after the generation of the user profile via the profile generation subsystem (30).

In one embodiment, the one or more available subscription plans may include a one time subscription for a long period of time. In such embodiment, the user may subscribe only once to the system (10) and the subscription may last for a long period of time depending upon the requirement of the user and then un-subscribe.

In another embodiment, the one or more available subscription plans may be dynamic in nature, bounded by one of time, specific health attributes, life events of the user, and the like, or a combination thereof. In such embodiment, the corresponding subscription plan which may be chosen by the user may be tied to specific measurable outcomes such as weight loss, weight gain, or the like.

Further, the user may have to make a payment of a pre-fined amount corresponding to the subscription plan chosen by the user of the one or more available subscription plans. Thus, in one embodiment, the system (10) also includes a payment subsystem (as shown in FIG. 2) operable by the one or more processors (20). The payment subsystem may be operatively coupled to the subscription-plan suggestion subsystem. The payment subsystem may be configured to receive the payment of the pre-defined amount corresponding to the subscription plan chosen by the user of the one or more available subscription plans via at least one payment mode. In one embodiment, the at least one payment mode includes cash mode, card mode, net banking mode, and the like.

Moreover, in one embodiment, the system (10) may be used by the user, wherein the user includes a patient or an individual who needs one of treatment for a disease, to match a deficiency, and the like, or a combination thereof. In such embodiment, the profile generation subsystem (30), the subscription-plan suggestion subsystem, and the payment subsystem may be directly used by the system (10).

Further, the system (10) also includes a health condition identification subsystem (60) operable by the one or more processors (20). The health condition identification subsystem (60) is operatively coupled to the profile generation subsystem (30). The health condition identification subsystem (60) is configured to identify one of one or more disease types, one or more deficiencies to be matched, or a combination thereof, the user is bearing using one or more artificial intelligence (Al)-based techniques based on the user profile generated by the profile generation subsystem (30).

In one embodiment, the health condition identification subsystem (60) is configured to identify one of the one or more disease types, the one or more deficiencies to be matched, or a combination thereof, the user is bearing upon processing the plurality of inputs including the one or more perceptual inputs using the one or more AI-based techniques.

In one embodiment, the one or more disease types include heart disease, cancer, lung disease, brain disease, and the like. In one embodiment, the one or more deficiencies to be matched include calcium, iron, magnesium, zinc, and the like. Also, the availability of the one or more deficiencies may cause at least one of the one or more disease types. Further, as used herein, the term “artificial intelligence” is defined as the ability of a computer program or a machine to think and learn. In one embodiment, the

The system (10) also includes an extraction subsystem (70) operable by the one or more processors (20). The extraction subsystem (70) is configured to extract one or more compositions and proportions upon referring to one of one or more current medical prescriptions, one or more current medications, or a combination thereof, of the user using the one or more AI-based techniques. In one embodiment, the one or more compositions and proportions may include salt, minerals, vitamins, electrolytes, Phyto-nutrients, omega fatty acids, Polyunsaturated fatty acid (PUFA), Monounsaturated Fatty Acid (MUFA), principle values like energy, carbohydrates, protein, fats, cholesterol, fiber, other biochemical nutrients, and the like.

Furthermore, the system (10) also includes a recommendation generation subsystem (80) operable by the one or more processors (20). The recommendation generation subsystem (80) is configured to generate a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more AI-based techniques to ameliorate the health condition of the user. In one exemplary embodiment, the recommendation generation subsystem (80) includes an adaptive learner module (as shown in FIG. 2). The adaptive learner module may be configured as a multi-layer interactive network to simulate interdependent nature, adaptive nature, and working of a human body. The adaptive learner module may be representing one or more elements of the human body such as, but not limited to, organs, lymphatic, nervous, blood vessels, glands, hormones, genotype, phenotype, and the like. Thus, the adaptive learner module may be configured to process the plurality of inputs including the one or more perceptual inputs sensed, the test details obtained upon conducting the tests, the health condition identified, and the like using the one or more AI-based techniques to generate a processing result, thereby helping the system (10) to understand and predict an effect of nutrients and the plurality of inputs on the overall health of the user.

The present invention refers to the following groups of one or more ingredients for recommending a nutraceutical composition:

Group 1: Principle (includes - Energy, Carbohydrates, Protein, Total Fat, Cholesterol, Dietary Fiber)

Group 2: Vitamins (multiple based on composition)

Group 3: Minerals (multiple based on composition)

Group 4: Phy to -Nutrients (multiple based on composition)

Group 5: Electrolytes (multiple based on composition)

Group 6: Fatty Acids (multiple based on composition)

In such embodiment, the database may be used to store information related to the list of recommended nutraceutical compositions wherein, the information related to the list of recommended nutraceutical compositions may include types of one or more nutraceutical compositions, ingredients of the one or more nutraceutical compositions, benefits of each of the one or more nutraceutical compositions, and the like.

Further, in one embodiment, the list of recommended nutraceutical compositions includes one or more names of one of one or more ingredients to be consumed individually, a newly customized nutraceutical composition of the one or more ingredients, an available nutraceutical composition of the one or more ingredients, or a combination thereof in a pre-defined form. In one exemplary embodiment, the one or more ingredients include one of dry fruits, herbs, spices, nuts, honey, grains, and the like, or a combination thereof. In one embodiment, the pre-defined form includes one of a whole, broken, small particles, powder, seed, liquid, oil, and the like, or a combination thereof. Further, in such embodiment, the database may also include information related to the one or more ingredients. The information related to the one or more ingredients may include ingredient category, ingredient benefits, and the like. In one embodiment, the system (10) may also include a model repository within the database. As used herein, the term “model repository” may be defined as a relational database that stores metadata for projects and folders.

In one exemplary embodiment, the information related to an ingredient such as almonds may include information such as the almonds are one of the complete sources of energy as well as nutrients. The almonds belonging to the nuts category, are rich in mono-unsaturated fatty acids like oleic acids, and palmitoleic acids that help in lowering low-density lipoprotein (LDL) or "bad cholesterol" and increasing high- density lipoprotein (HDL) or "good cholesterol" in a human body.

Research studies suggest that a Mediterranean diet which is excellent in the mono- unsaturated fatty acids helps prevent coronary artery disease and strokes by favoring a healthy blood lipid profile. Further, the almonds are gluten-free food items and hence one of the favorite ingredients in the preparation of the gluten-free food formulae. Such formulae preparations are, in fact, healthy alternatives for people suffering from a gluten food allergy, and celiac disease.

In another exemplary embodiment, the information related to an ingredient such as cashews may include information such as the cashews are rich in the “heart-friendly” monounsaturated fatty acids like the oleic acids, and the palmitoleic acids. These essential fatty acids help lower harmful LDL-cholesterol while increasing good HDL- cholesterol in the blood. The cashews belonging to the nuts category are abundant sources of essential minerals. Manganese, potassium, copper, iron, magnesium, zinc, and selenium are especially concentrated in the cashews.

A handful of the cashews a day in a diet would provide enough of these minerals and may help prevent deficiency diseases. The cashews are also good in many essential vitamins such as pantothenic acid (vitamin B5), pyridoxine (vitamin B-6), riboflavin, and thiamine (vitamin B-l). Further, 100 grams of cashews provide 0.147 milligrams or 32% of daily recommended levels of pyridoxine. The pyridoxine reduces the risk of homocystinuria, and sideroblastic anemia. Also, niacin helps prevent pellagra or dermatitis.

In yet another exemplary embodiment, the information related to an ingredient such as pistachios may include information such as the pistachios kernels are a rich source of many antioxidant phytochemical substances such as carotenes, vitamin E, and polyphenolic antioxidant compounds. The research studies suggest that these compounds may help remove toxic free radicals from the human body, and thus, provide protection from diseases, cancers, and infections.

Further, in yet another exemplary embodiment, the information related to an ingredient such as raisins may include the information such as the raisins belonging to the dried fruit category, as in grapes also contain the phytochemical compound resveratrol. The resveratrol, a polyphenol antioxidant, has anti-inflammatory, anti cancer, blood cholesterol-lowering activities. Studies suggest that resveratrol has been found to have protective action against cancers like melanoma, colon, and prostate, and diseases such as coronary heart disease (CHD), degenerative nerve disease, Alzheimer's disease, and viral/ fungal infections.

Further, like in grapes, the raisins especially derived from red/purple grapes, are very high in anthocyanins, another class of polyphenolic antioxidants. The anthocyanins have been found to have anti-allergic, anti-inflammatory, anti-microbial, and anti cancer activities. Furthermore, 100 grams of raisins provide 3.7 grams or 10% of the daily required levels of dietary fiber. Studies suggest moderate fiber in the diet help lower body weight, cholesterol concentrations in the blood, and colon and breast cancer incidence.

Additionally, the raisins help relieve constipation episodes by decreasing the gut transit time of food. Furthermore, the raisins are also abundant in flavonoid compounds such as tartaric acid, tannins, catechins, and the like. Together with inulin and fiber, these compounds aid in smooth bowel movements through their laxative function. The raisins are free of gluten protein and can be safely consumed as an alternative healthy food by people who are intolerant to gluten. Furthermore, in yet another exemplary embodiment, the information related to an ingredient such as fennel seeds may include the information such as the fennel seeds belonging to the spices category, possess a plurality of medicinal uses such as the fennel seeds are used as a remedy for flatulence and indigestion in traditional medicines, the fennel seeds decoction or added as a spice in food has been found to increase breast milk secretion in nursing mothers, the fennel seeds water often is used in new-bom babies to relieve colic pain and help aid digestion, the fennel seeds oil is used to relieve coughs, bronchitis and as a massage oil to cure joint pains and the like.

Further, in such embodiment, the recommendation generation subsystem (80) may use the one or more AI-based techniques to search the database for one or more specific ingredients with one or more specific benefits. Further, in such embodiment, the one or more specific benefits of the one or more specific ingredients chosen may be required to cure one or more disease types identified which the user is bearing, to match the one or more deficiencies, to replace one of the one or more current medical prescriptions, the one or more current medications, or a combination thereof based on the one or more compositions and proportions extracted from the same or the like. Later, the recommendation generation subsystem (80) may generate the list of recommended nutraceutical compositions.

In one embodiment, the recommendation generation subsystem (80) includes a customization module (as shown in FIG. 2), wherein the customization module may be configured to generate the newly customized nutraceutical composition using the one or more AI-based techniques. Further, In one embodiment, the customization module may be also configured to receive the processing result and use for evaluating the recommendations to be made by the recommendation generation subsystem (80), thereby helping in refining and finetuning the list of recommended nutraceutical compositions generated for the corresponding user.

Further, in one embodiment, the system (10) also includes a task execution subsystem (as shown in FIG. 2) operable by the one or more processors (20). The task execution subsystem is operatively coupled to the recommendation generation subsystem (80). The task execution subsystem is configured to execute a plurality of tasks upon generation of the list of recommended nutraceutical compositions by the recommendation generation subsystem (80). In one embodiment, once the recommendations are provided for the user, the plurality of tasks carried out may include dispatching a recommended nutraceutical composition to a desired address of the user, allotment of treatment duration, medical follow-ups, taking regular updates on recovery and issues of the user, conducting repeat tests scenarios, continuing medical consultation, taking testimonials from the user, sending medical reports and updates to the user, and the like.

In one embodiment, taking regular updates on recovery and issues of the user may be considered as feedback to the system (10). In such embodiment, the feedback to the system (10) may be considered as the next set of the plurality of inputs to the system (10). Further, based upon the next set of the plurality of inputs, the previously generated user profile may be updated accordingly and verified by the profile generation subsystem (30). Further, the database and the model repository are also updated accordingly.

Furthermore, based on the updated user profile previously chosen subscription plan may also be changed. Moreover, the recommendations may also differ based on improvement/ decline of the health condition of the user and hence, a cycle of giving the plurality of inputs to the system (10), obtaining the output, and feeding back to the system (10) as next set of the plurality of inputs repeats.

Further, in one embodiment, the task execution subsystem may also be configured to communicate the list of recommended nutraceutical compositions generated to the user via the at least one communication means. Moreover, in one embodiment, the task execution subsystem may also be configured to perform integration and information exchange between a plurality of users, which may create an n-sided marketplace such that the information exchange of the plurality of inputs, the recommendations, and the outputs create network effects for all the plurality of users in the marketplace. In such embodiment, the plurality of users includes a patient, a doctor, a retailer, a lab technician working in a diagnostic laboratory, a health club member, or the like.

In one exemplary embodiment, the system (10) may be used by the user, wherein the user includes a doctor, a lab technician working in a diagnostic laboratory, a health club handling member, or the like. In such embodiment, the user may have to register on the centralized platform. Thus, in one embodiment, the system (10) includes a registration subsystem (as shown in FIG. 2) operable by the one or more processors (20). The registration subsystem may be operatively coupled to the profile generation subsystem (30). The registration subsystem may be configured to register the user on the centralized platform upon receiving a plurality of user details via the user device (50). In one embodiment, the plurality of user details includes a username, an occupation, one or more contact details, and the like.

Later, upon registration, the user may use the system (10) to generate one or more profiles for one or more dependent users independently via the profile generation subsystem (30) of the system (10). In one embodiment, the one or more dependent users include one or more patients, one or more health club participants, or the like. Further, the one or more dependent users may be provided with an option to choose one of the one or more subscription plans via the subscription-plan suggestion subsystem of the system (10). Then, make the payment of the pre-defined amount via the payment subsystem. Later, the system (10) may perform further processing by the respective subsystems. In one embodiment, the respective subsystems include the health condition identification subsystem (60), the extraction subsystem (70), the recommendation generation subsystem (80), and the like.

In one embodiment, the profile generation subsystem (30), the subscription-plan suggestion subsystem, the payment subsystem, the health condition identification subsystem (60), the extraction subsystem (70), the recommendation generation subsystem (80), the task execution subsystem, and the registration subsystem may be together termed as a subsystem of intelligence. As used herein, the term “subsystem of intelligence” may be defined as a platform designed to provide a holistic approach to solving a problem. Such type of subsystem uses the one or more Al-based techniques, infused with machine learning (ML), and combined with data, to continually learn and grow more effective over time.

In another embodiment, the system (10) may also include a subsystem of records operable by the one or more processors (20) wherein, the subsystem of records may include a customer-relationship management subsystem. As used herein, the term “subsystem of records” may be defined as an information storage and retrieval system (ISRS) which is an authoritative source for a particular data element in a system containing multiple sources of the same element.

FIG. 2 is a block diagram representation of an exemplary embodiment of the system (10) for recommending a nutraceutical composition to ameliorate the health condition of FIG. 1 in accordance with an embodiment of the present disclosure. The system (10) includes the one or more processors (20). A health club ‘X’ (90) uses the system (10) to help people to ameliorate their health conditions. The health club ‘X’ (90) hires one or more dieticians (100) and enables the one or more dieticians (100) to register on the centralized platform via the registration subsystem (110) of the system (10) using a dietician mobile device (120). Then, the one or more dieticians (100) may receive one or more appointments from one or more patients (130) who want to ameliorate their health conditions. Thus, the one or more dieticians (100) generate a profile for each of the one or more patients (130) via the profile generation subsystem (30) of the system (10) upon receiving the plurality of inputs via a patient mobile device (140). Also, the one or more patients (130) are provided with a wearable which includes at least one of the one or more sensors (40). The one or more sensors (40) sense the one or more perceptual inputs. The profile is used as the reference inquiry form and hence is stored in the database (150) of the system (10) for each of the one or more patients (130).

Further, the one or more patients (130) choose one of the one or more available subscription plans upon receiving a suggestion for the same via the subscription-plan suggestion subsystem (160) of the system (10) in order to proceed with a process of ameliorating the health conditions. Later, upon selecting a subscription plan, the one or more patients (130) make the payment for the same via the payment subsystem (170) of the system (10).

Further, the profile generated for each of the one or more patients (130) is used to identify one of one or more disease types, one or more deficiencies to be matched, or a combination thereof, the one or more patients (130) are bearing using the one or more AI-based techniques via the health condition identification subsystem (60) of the system (10). Later, the one or more compositions and proportions from the one of the one or more current medical prescriptions, the one or more current medications, or a combination thereof of the one or more patients (130) are extracted via the extraction subsystem (70) of the system (10) using the one or more AI-based techniques.

Further, upon extracting, the list of recommended nutraceutical compositions is generated for each of the one or more patients (130) via the recommendation generation subsystem (80) of the system (10). Basically, the recommendation generation subsystem (80) customizes the one or more nutraceutical compositions using the one or more ingredients via the customization module (180) Also, the adaptive learner module (185) processes the plurality of inputs including the one or more perceptual inputs, the test details obtained upon conducting the tests, the health condition identified, and the like using the one or more AI-based techniques to generate the processing result. Further, the customization module (180) receives the processing result and uses it to evaluate the recommendations to be made by the recommendation generation subsystem (80). Moreover, there is a plurality of tasks to be carried out which is done via the task execution subsystem (190) of the system (10) to help each of the one or more patients (130) to ameliorate the health conditions and to know the progress in the health conditions of the one or more patients (130). Also, the list of recommended nutraceutical compositions is communicated to the respective one or more patients (130) via the task execution subsystem (190). The plurality of tasks including regular updates on recovery and issues of the one or more patients (130) is considered as feedback to the system (10) and hence the above-described process repeats with the new set of the plurality of inputs in a form of a cycle.

FIG. 3 is a block diagram of a recommendation generation computer or a recommendation generation server (200) in accordance with an embodiment of the present disclosure. The recommendation generation server (200) includes processor(s) (210), and a memory (220) coupled to a bus (230). As used herein, the processor(s) (210) and the memory (220) are substantially similar to the system (10) of FIG. 1. Here, the memory (220) is located in a local storage device.

The processor(s) (210), as used herein, means any type of computational circuit, such as but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (210).

The memory (220) includes a plurality of subsystems stored in the form of executable program which instructs the processor(s) (210) to perform method steps illustrated in FIG. 3. The memory (220) has following subsystems: a profile generation subsystem (30), a health condition identification subsystem (60), an extraction subsystem (70), and a recommendation generation subsystem (80).

The profile generation subsystem (30) is configured to generate a user profile upon receiving a plurality of inputs from a user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real-time. The health condition identification subsystem (60) is configured to identify one of one or more disease types, one or more deficiencies to be matched, or a combination thereof, the user is bearing using one or more artificial intelligence-based techniques based on the user profile generated by the profile generation subsystem (30).

The extraction subsystem (70) is configured to extract one or more compositions and proportions upon referring to one of one or more current medical prescriptions, one or more current medications, or a combination thereof, of the user using the one or more artificial intelligence -based techniques.

The recommendation generation subsystem (80) is configured to generate a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more artificial intelligence-based techniques to ameliorate the health condition of the user.

FIG. 4 is a flow chart representing steps involved in a method (240) for recommending a nutraceutical composition to ameliorate health condition in accordance with an embodiment of the present disclosure. The method (240) includes generating a user profile upon receiving a plurality of inputs from a user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real-time in step 250. In one embodiment, generating the user profile includes generating the user profile by a profile generation subsystem (30).

In one exemplary embodiment, generating the list of recommended nutraceutical compositions includes generating one or more names of one of one or more ingredients to be consumed individually, a newly customized nutraceutical composition of the one or more ingredients, an available nutraceutical composition of the one or more ingredients, or a combination thereof in a pre-defined form.

The method (240) also includes identifying one of one or more disease types, one or more deficiencies to be matched, or a combination thereof the user is bearing using one or more artificial intelligence (Al)-based techniques based on the user profile generated by the profile generation subsystem in step 260. In one embodiment, identifying one of the one or more disease types, the one or more deficiencies to be matched, or a combination thereof includes identifying one of the one or more disease types, the one or more deficiencies to be matched, or a combination thereof by a health condition identification subsystem (60).

Furthermore, the method (240) includes extracting one or more compositions and proportions upon referring to one of one or more current medical prescriptions, one or more current medications, or a combination thereof of the user using the one or more AI-based techniques in step 270. In one embodiment, extracting the one or more compositions and proportions include extracting the one or more compositions and proportions by an extraction subsystem (70).

Furthermore, the method (240) also includes generating a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more AI-based techniques to ameliorate the health condition of the user in step 280. In one embodiment, generating the list of recommended nutraceutical compositions includes generating the list of recommended nutraceutical compositions by a recommendation generation subsystem (80).

Further, from a technical effect point of view, the implementation time required to perform the method steps included in the present disclosure by the one or more processors of the system is very minimal, thereby the system maintains very minimal operational speed.

Various embodiments of the present disclosure enable the system to help the user to replace existing dependencies of consuming expensive, processed, strong, and chemical-based medications to 100% natural customized compositions. The system also helps the user to cure many long-term and hereditary diseases along with resolving many nutritional deficiencies at a minimal cost with no side effects, thereby making the system more efficient, more reliable, and cost-effective.

While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

I/WE CLAIM:

1. A system (10) for recommending a nutraceutical composition to ameliorate health condition, wherein the system (10) comprises: one or more processors (20); a profile generation subsystem (30) operable by the one or more processors (20), wherein the profile generation subsystem (30) is configured to generate a user profile upon receiving a plurality of inputs from a user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real time; a health condition identification subsystem (60) operable by the one or more processors (20), wherein the health condition identification subsystem (60) is configured to identify one of one or more disease types, one or more deficiencies to be matched, or a combination thereof, the user is bearing using one or more artificial intelligence -based techniques based on the user profile generated by the profile generation subsystem (30); an extraction subsystem (70) operable by the one or more processors (20), wherein the extraction subsystem (70) is configured to extract one or more compositions and proportions upon referring to one of one or more current medical prescriptions, one or more current medications, or a combination thereof, of the user using the one or more artificial intelligence-based techniques; and a recommendation generation subsystem (80) operable by the one or more processors (20), wherein the recommendation generation subsystem (80) is configured to generate a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more artificial intelligence-based techniques to ameliorate the health condition of the user.

2. The system (10) as claimed in claim 1, the plurality of inputs comprises one of a username, age, gender, one or more contact details, one or more current health issues, a duration for which the user is suffering from the one or more current health issues, an area of concern, a current medication type, a current medical prescription, a current medication duration, an effect of the current medical prescription on the user, latest tests conducted, test details, current follow-up details, a type of lifestyle, specific habits, preferred follow-up time slots, or a combination thereof.

3. The system (10) as claimed in claim 1, wherein the user comprises a patient, a doctor, a retailer, a lab technician working in a diagnostic laboratory or a health club member.

4. The system (10) as claimed in claim 1, comprises a subscription-plan suggestion subsystem (160) operable by the one or more processors (20), the subscription-plan suggestion subsystem (160) configured to enable the user to choose one or more available subscription plans.

5. The system (10) as claimed in claim 1, wherein the list of recommended nutraceutical compositions comprises one or more names of one of one or more ingredients to be consumed individually, a newly customized nutraceutical composition of the one or more ingredients, an available nutraceutical composition of the one or more ingredients, or a combination thereof in a pre-defined form.

6. The system (10) as claimed in claim 5, wherein the one or more ingredients comprise one of dry fruits, herbs, spices, nuts, honey, grains, or a combination thereof.

7. The system (10) as claimed in claim 5, wherein the pre-defined form comprises one of a whole, broken, small particles, powder, seed, liquid, oil, or a combination thereof.

8. The system (10) as claimed in claim 1, comprises a task execution subsystem (190) operable by the one or more processors (20), the task execution subsystem (190) configured to execute a plurality of tasks upon generation of the list of recommended nutraceutical compositions by the recommendation generation subsystem (80).

9. A method (240) for recommending a nutraceutical composition to ameliorate health condition, wherein the method (240) comprises: generating, by a profile generation subsystem (30), user profile upon receiving a plurality of inputs from a user corresponding to a plurality of profile attributes displayed via a user interface on a centralized platform in real-time; (250) identifying, by a health condition identification subsystem (60), one of one or more disease types, one or more deficiencies to be matched, or a combination thereof the user is bearing using one or more artificial intelligence-based techniques based on the user profile generated by the profile generation subsystem; (260) extracting, by an extraction subsystem (70), one or more compositions and proportions upon referring to one of one or more current medical prescriptions, one or more current medications, or a combination thereof of the user using the one or more artificial intelligence-based techniques; and (270) generating, by a recommendation generation subsystem (80), a list of recommended nutraceutical compositions based on one of the one or more disease types identified, the one or more deficiencies to be matched, the one or more compositions and proportions extracted of the user using the one or more artificial intelligence-based techniques to ameliorate the health condition of the user (280).

10. The method (240) as claimed in claim 1, wherein generating the list of recommended nutraceutical compositions comprises generating one or more names of one of one or more ingredients to be consumed individually, a newly customized nutraceutical composition of the one or more ingredients, an available nutraceutical composition of the one or more ingredients, or a combination thereof in a pre defined form.