The present disclosure relates to tea vending machines, and more specifically, to an internet of things (IoT) and artificial intelligence enabled tea vending system that uses green/natural tea leaves instead of processed tea.
BACKGROUND
[0002] Background description includes information that may be useful in
understanding the present invention. It is not an admission that any of the
information provided herein is prior art or relevant to the presently claimed
invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In worldwide, tea is the most widely consumed drink, after water.
Tea is an aromatic hot beverage that is prepared by adding hot or boiling water to the tea leaves. The tea is also prepared by adding milk and sugar with the hot water in which tea leaves get infused. China and India are the largest tea manufacturing countries, and they consume tea with different flavors such as cardamom, jasmine, ginger, and lemon and so on. Further many varieties of tea leaves are also produced such as Assam tea, Darj leeling tea, Chinese greens and so on.
[0004] Tea consumers across the countries want to have the tea instantly
without the need for a person to brew the tea. Further, in order to minimize the tea preparation time and to get the tea instantly, when it is required, many tea brewing apparatus are developed across the world. Every tea brewing apparatus has different tea preparation technique, but the raw material requirement is same, that is tea powder or leaves, hot water, milk or condensed cream or milk powder, and sugar or sweetener.
[0005] Nowadays in existing tea brewing apparatus, basic tea preparation
method has three types; in that, first method is premix powder based that is the apparatus has a premix powder that comprises of milk powder, sugar powder and

tea powder is mixed with hot water to get the instant tea. Second method is using
tea bag, in which warm water/milk is dispensed from the apparatus and the user
dips the tea bag in this warm water/milk mixture for multiple times and reheats
the mixture in microwave oven to get the tea. In third method, tea powder is
packed in capsule or pod through which warm water at higher pressure and
temperature is pushed and then tea is dispensed in the cup.
[0006] However, some drawbacks exist in each and every tea brewing
apparatus. In general, the most common feedback from the user is the tea that is prepared by the apparatus is not as tasteful and strong as homemade tea. Further every apparatus stores the ingredients (sugar powder, premix, milk) inside the machine for the tea preparation and the apparatus needs valves, pumps, long pipes and tubes to supply milk or tea decoction. Hence frequent cleaning of the internal components of the apparatus is required. Along with that the recipe for preparation of is not decided by the user, the apparatus utilizes predetermined standard recipe for all users. That is the tea brewing is not user specific. Furthermore instruction for brewing tea to the apparatus can be given by the user only when the user operates the apparatus by direct touch. Most importantly, to make Indian style tea, the tea leaves must be boiled with water and/or milk for it to become strong in taste. No automatic tea apparatus available in the market boils the tea leaves to obtain strong liquor.
[0007] However, ready-to-drink tea containing products have become
increasingly popular. Many tea containing beverage preparation systems use tea extracts or tea powder to produce tea flavored beverages rather than brewing with actual tea leaves in tea bags. Further, existing tea beverage systems are not fully automated and expose the tea to air throughout the preparation process resulting in inconsistently flavored tea beverages. Furthermore, most of the available tea or coffees dispensing machines are not internet of things (IoT) and machine learning enabled.
[0008] Therefore, there exists a need of an efficient, effective or
improved internet of things (IoT) and artificial intelligence based/enabled tea vending machine/system that uses green/natural tea leaves instead of processed

tea. Further, there is a need of an apparatus for brewing tea automatically and instantly without a lot of maintenance and the taste must be equal to homemade tea and sugar or premix powder are not stored inside the apparatus.
SUMMARY
[0009] This summary is provided to introduce a selection of concepts in a
simplified form to be further described below in the Detailed Description. This summary is not intended to identity key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
[0010] An aspect of the present disclosure relates to a smart vending
system for dispensing a nutritional serving. The smart vending system includes a
display device, one or more components, a memory and a processor. The display
device communicably coupled with the smart vending system and receives one or
more inputs associated with physical or physiological characteristics of a user.
One or more components arranged in the smart vending system, each of said one
or more components adapted to store edible leaves or edible herbs. The memory
stores a machine learning (ML) module. The processor executes ML module to
enable smart vending system to determine at least one current health condition of
the user based on the received inputs and obtain a pre-determined quantity of a
combination of the edible leaves or edible herbs from the components to dispense
the nutritional serving in a container based on the determined health condition.
[0011] In an aspect, one or more inputs are received in the form any or
combination of audio inputs, video inputs, and gesture based inputs.
[0012] In an aspect, the pre-determined quantity of the combination of the
one or more extracts is mixed with water before dispensing the nutritional serving.
[0013] In an aspect, the pre-determined quantity of the combination of the
one or more extracts is mixed with water after dispensing the nutritional serving.

[0014] In an aspect, the smart vending system includes a plurality of
sensor devices to obtain the physical or the physiological characteristics in real-time.
[0015] In an aspect, the physical or the physiological characteristics of
the user are obtained from details available in one or more databases over the internet.
[0016] In an aspect, the system includes an internet of things (IOT) based
communications module connecting said SVS to a communications network.
[0017] In an aspect, the one or more extracts of edible leaves or edible
herbs are edible leaves or edible herbs are at least selected from any or combination of guava, mango, mint, lemon, and pupil.
[0018] In an aspect, the nutritional serving is selected from any or
combination of a tea, a coffee, a soup, and a health drink.
[0019] An aspect of the present disclosure relates to a method for
dispensing a nutritional serving at a smart vending system. The method includes the following steps: a display device communicably coupled with the smart vending system receives one or more inputs associated with physical or physiological characteristics of a user; the smart vending system determines at least one current health condition of the user based on the one or more received inputs and the smart vending system obtains a pre-determined quantity of a combination of edible leaves or edible herbs from one or more components of the smart vending system to dispense the nutritional serving in a container based on the determined health condition.
[0020] Various objects, features, aspects and advantages of the present
disclosure will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like features.
BRIEF DESCRIPTION OF THE DRAWINGS
[0021] The accompanying drawings are included to provide a further
understanding of the present disclosure, and are incorporated in and constitute a

part of this specification. The drawings illustrate exemplary embodiments of the
present disclosure and, together with the description, serve to explain the
principles of the present disclosure.
[0022] In the figures, similar components and/or features may have the
same reference label. Further, various components of the same type may be
distinguished by following the reference label with a second label that
distinguishes among the similar components. If only the first reference label is
used in the specification, the description is applicable to any one of the similar
components having the same first reference label irrespective of the second
reference label.
[0023] FIG. 1 illustrates exemplary block diagram of internet of things
(IoT) and artificial intelligence enabled tea vending system, in accordance with
an exemplary embodiment of the present disclosure.
[0024] FIG. 2 illustrates exemplary mobile interface with proposed tea
vending system, in accordance with an exemplary embodiment of the present
disclosure.
[0025] FIG. 3 illustrates exemplary module diagram of internet of things
(IoT) and artificial intelligence enabled tea vending system, in accordance with
an exemplary embodiment of the present disclosure.
[0026] FIG. 4 illustrates exemplary flow diagram of a proposed system,
in accordance with an exemplary embodiment of the present disclosure.
[0027] FIG. 5 illustrates an exemplary computer system utilized for
implementation of the proposed system, in accordance with an exemplary
embodiment of the present disclosure.
DETAILED DESCRIPTION
[0028] Embodiments of the present disclosure include various steps,
which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed

with the instructions to perform the steps. Alternatively, steps may be performed
by a combination of hardware, software, and firmware or by human operators.
[0029] Embodiments of the present disclosure may be provided as a
computer program product, which may include a machine-readable storage
medium tangibly embodying thereon instructions, which may be used to program
a computer (or other electronic devices) to perform a process. The machine-
readable medium may include, but is not limited to, fixed (hard) drives, magnetic
tape, floppy diskettes, optical disks, compact disc read-only memories (CD-
ROMs), and magneto-optical disks, semiconductor memories, such as ROMs,
PROMs, random access memories (RAMs), programmable read-only memories
(PROMs), erasable PROMs (EPROMs), electrically erasable PROMs
(EEPROMs), flash memory, magnetic or optical cards, or other type of
media/machine-readable medium suitable for storing electronic instructions (e.g.,
computer programming code, such as software or firmware).
[0030] Various methods described herein may be practiced by combining
one or more machine-readable storage media containing the code according to the present disclosure with appropriate standard computer hardware to execute the code contained therein. An apparatus for practicing various embodiments of the present disclosure may involve one or more computers (or one or more processors within a single computer) and storage systems containing or having network access to computer program(s) coded in accordance with various methods described herein, and the method steps of the disclosure could be accomplished by modules, routines, subroutines, or subparts of a computer program product.
[0031] If the specification states a component or feature "may", "can",
"could", or "might" be included or have a characteristic, that particular
component or feature is not required to be included or have the characteristic.
[0032] Exemplary embodiments will now be described more fully
hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This disclosure may, however, be embodied in many different forms and should not be construed as limited to the embodiments set

forth herein. These embodiments are provided so that this disclosure will be thorough and complete and will fully convey the scope of the disclosure to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the disclosure, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
[0033] Thus, for example, it will be appreciated by those of ordinary skill
in the art that the diagrams, schematics, illustrations, and the like represent
conceptual views or processes illustrating systems and methods embodying this
disclosure. The functions of the various elements shown in the figures may be
provided through the use of dedicated hardware as well as hardware capable of
executing associated software. Similarly, any electronic code generator shown in
the figures are conceptual only. Their function may be carried out through the
operation of program logic, through dedicated logic, through the interaction of
program control and dedicated logic, or even manually, the particular technique
being selectable by the entity implementing this disclosure. Those of ordinary
skill in the art further understand that the exemplary hardware, software,
processes, methods, and/or operating systems described herein are for illustrative
purposes and, thus, are not intended to be limited to any particular named.
[0034] Various terms as used herein are shown below. To the extent a
term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0035] Problems to be solved in the present invention are that: However,
ready-to-drink tea containing products have become increasingly popular. Many tea containing beverage preparation systems use tea extracts or tea powder to produce tea flavored beverages rather than brewing with actual tea leaves in tea bags. Further, existing tea beverage systems are not fully automated and expose

the tea to air throughout the preparation process resulting in inconsistently flavored tea beverages.
[0036] Therefore, there exists a need of an efficient, effective or
improved internet of things (IoT) and artificial intelligence based/enabled tea
vending machine/system that uses green/natural tea leaves instead of processed
tea. Further, there is a need of an apparatus for brewing tea automatically and
instantly without a lot of maintenance and the taste must be equal to homemade
tea and sugar or premix powder are not stored inside the apparatus.
[0037] FIG. 1 illustrates exemplary block diagram of internet of things
(IoT) and machine learning (ML) enabled tea vending system, in accordance with an exemplary embodiment of the present disclosure.
[0038] In an embodiment, the proposed system can include a blending
system, brewing system, tea leaves squeezing system and cooling system to produce liquid tea for bottling and distribution. The proposed system includes a system for heating and blending water, sweetener and other flavorings in appropriate proportions. The proposed system can include brewing and filtering mechanisms coupled with the blending system to brew liquid tea concentrate. A tea leaves squeezing system provides apparatus and method for introducing tea leaves into a brew tank and for squeezing tea from the leaves into water for producing liquid tea concentrate.
[0039] In another embodiment, the proposed IoT and ML enabled tea
vending machine uses ML to find the number of tea cups consumed and discover
behavior of consumer such as what type of tea he has consumed and how much.
[0040] In another embodiment, the proposed vending machine is an IoT-
enabled automated tea and coffee dispenser for producing tea via tea leaves and
not with tea bags and the tea tastes just like the tea prepared at home.
[0041] In another embodiment, the proposed vending machine 100 can
include a box chamber 102, one or more means for storing additives/flavors/taste enhancers such as tea leaves 104-1, leaves 104-2 and ice tea 104-3 a touchpad or user interface 112, a processing unit 114 a printing unit or printer 116, an IoT

transmitter 118, a cloud 128, a blood pressure measurement unit 122, non¬invasive glucometer 124 and weighing unit 126.
[0042] In another embodiment, 104-1, 104-2 and 104-3 can store
additives or tea leaves. A collection unit 106 can collect tea leaves and milk and /or sugar/ honey. A distribution unit 108 can distribute the collected tea leaves, milk and sugar/ honey.
[0043] In another embodiment, the user can operate the user interface or
the touchpad 112 enables to order a cup of tea as per his/ her choice of with/without flavors/additives.
[0044] In another embodiment, the blood pressure measurement unit 122
can measure blood pressure of the user. The non-invasive glucometer 124 can be used to measure glucose level of the user. The weighing unit 126 can be used to measure weight of the user.
[0045] In another embodiment, the IoT transmitter 118 can enable to
collect or transmit users' data (like Name, Age, Gender, Place, Feedback) to a
cloud server 128 for generating and analyzing/predictions/patterns.
[0046] In another embodiment, the processing unit or processor 114 can
be used for processing on the collected data such as BP, glucose and weight to
suggest the type of tea a user should take for health benefits.
[0047] In another embodiment, the proposed vending machine can be
operated on a normal mode and a health mode.
1. Normal mode: User can select the tea what he/ she wants and cup can be filled by the proposed vending machine, these information can be sent to the cloud server.
2. Health mode: The user can measure his height, weight, BP, and sugar level instantly, and tea can be served based on his health conditions, and the leaves mentioned in the proposal have many health benefits. The consumer can be suggested to the type of tea to improve his health based on his current health condition.
[0048] In another embodiment, the tea and other leaves can be stored in a
big transparent box or box chamber 102. The box 102 has many chambers to

store different leaves. Different leaves can be selected from any or combination of jamun leaves, lemon leaves, mint leaves, guava leaves, tulsi leaves and peepal leaves.
[0049] In another embodiment, the proposed vending machine 100 can be
embedded with a machine learning module having artificial intelligence (AI) to provide the suggestions machine to make the correct mixture of Herbals /leaves to make a healthy tea according to the users' health conditions. For example, if the user has high glucose level then ML module can predict to use jamun leaves and sugar free. Case Study 1
Consumer Details Age, Weight, Height, BP, Sugar Level
A. I prediction Leaves combination to control or maintain the health
Output Type of Tea Suggestion and Printout
Customer ID New ID/Old Id
IoT Send data to the Cloud
Cloud Stores and Processes Data
[0050] In another embodiment, the user records can be entered without
disclosing his/ her private details by a user interface of the proposed tea vending machine 100. The user records can be health records such as BP, sugar, age height, weight. The repeated user records can be compared with the new records after consuming the healthy tea after certain number of times. The improvement over the health record can be monitored and more suggestions can be given to the user. The feedback collected from the user can be used to fine tune the process efficiency of the tea making.
[0051] In an exemplary embodiment, the user records or data may also be
received directly from a customer's online health, fitness, or social profile, or from a customer's device such as a smartphone, health monitoring device, or wearable fitness tracker, for example. Data may also be obtained by a user directly, for example, by an on-site health detection device which may determine a customer's health condition or dietary needs by taking that customer's temperature, blood pressure, or blood sugar level.

[0052] In another embodiment, the collected data can be used to predict
area wise movement of tea, health conditions of the people in the particular region, improvements over the health conditions after consuming the various kinds of teas, and the hidden benefit of the various leaves which are available at free of cost almost.
[0053] In another embodiment, the leaves used in the proposed vending
machine are available abundantly and at free of cost. So this will create a new venture of business and people always interested to measure their weight whenever possible so the repeated consumers will come that will create a sustainable business model.
[0054] In another embodiment, the proposed vending machine can be
implemented the A.I. algorithms in the hardware with the support of the new inventions of IBM. The hardware unit can execute the Machine Learning algorithms in the machine itself and will provide the suggestions to the consumer. This will be cost effective and will reduce the data traffic between IoT and cloud service.
Case Study 2 - Health Vending machines at Offices
The user wear an intelligent bluetooth wearable devices as the activity trackers, these device measures their heart rates, pulse rate, sleeping time, and other important health parameters. The intelligent bluetooth wearable devices can be connected with a smartphone that will contact the proposed vending machine based on their activity chart. Wrist Watch Inputs to the Device
1. Brisk walk for 20 minutes : Lemon Leaves Tea to maintain the Body temperature
2. Idle for 3 Hours : Mint leaves Tea
3. Lack of Sleep : Guava leaves Tea
[0055] In another embodiment the ML algorithms can be applied well to
predict the combination of leaves for making the Tea on the situations.
[0056] In another embodiment, the intelligent bluetooth wearable devices
or the wrist watch can give the inputs to the mobile phones where mobile devices

will order the tea to the tea vending machines. A consumer can drink the tea specially made for him. The scope is wider since more number of inputs and more predictions will generate the accurate results when implemented the things at long runs. The proposed Vending machine can be smarter that can send messages to the consumer about his tea timings and type of Tea he/she should have.
[0057] In another embodiment, in the proposed vending machine the
duplex communication can be made, and the vending machine can customize itself for their office needs, this system will improve the health of the employees and saves time.
[0058] In another embodiment, the proposed vending machine can
provide all the necessary information such as how many cups have been consumed since the last reset and it even allows users to alter the tea and milk volume and density per cup (even cup volume can be personalized) with an option to customize brewing temperature as well as time.
[0059] In another embodiment, IoT enabled the proposed vending
machine helps us and the client to know the exact number of cups consumed over
a given period of time, ML provides details about consumer behavior i.e. which
tea - ginger, masala, green or black tea - consumers prefer to consume.
[0060] In another embodiment, a pay station may be built into a vending
machine. In another embodiment, the customer may proceed to pay station to pay by cash, credit card, rewards card, or tokens, for example, any time before, during, or after receiving the final food or beverage product. A user may also pay by using a mobile device, such as a smart phone, for example, to make wireless payments through an online account or payment service. A customer may have the ability to conduct a single payment transaction for food and beverage items dispensed from separate refrigerators or vending machines, instead of having to conduct multiple transactions, which may be burdensome or costly due to credit card transaction fees, for example.

[0061] In another embodiment, the vending machine 100 can include at
least one blender or mixer. The customer can add additional ingredients such as
ice, dairy products, dairy alternatives, sweeteners, or garnishes.
[0062] In another embodiment, the proposed vending machine 100 can
include the heating means includes but is not limited to a cartridge heater,
induction heater and so on.
[0063] In accordance with an embodiment, if the tea requires the milk,
then milk can be fetched through a milk container 110-1. If the user requires the
sugar or honey then sugar/honey can be fetched through the sugar/honey unit
110-2.
[0064] According to another embodiment, the induction heater is
integrated with the apparatus at the bottom of a tea cup (or an induction
compatible vessel) holder. This type of heating arrangement is specially meant
for preparing multiple cups of tea at a time. Further, due to induction heating, the
mixture (milk, water, and tea) tends to boil over. A small blower is programmed
and mounted above the tea cup holder for preventing mixture from falling over
the tea cup holder due to boil over.
[0065] According to an embodiment, the proposed tea vending machine
can be operated conveniently without more complexity. The proposed tea
vending machine used in places like restaurants, coffee can be bars, work places
and not limited to above mentioned locations.
[0066] FIG. 2 illustrates exemplary mobile interface with proposed tea
vending system, in accordance with an exemplary embodiment of the present
disclosure.
[0067] In another embodiment, the health monitoring watch or devices
202 can be connected to a mobile phone 204 that is interfaced with the health tea
vending machine. The communication is a duplex mode.
[0068] In another embodiment, the vending machine can predict the need
of the individual employee and will send signals periodically. The proposed
vending machine can be a self-trained one with the help of the Machine Learning
algorithms /hardware embedded with the system. The cloud 206 can be used to

store the data from the group of machines to make the patterns and predict the
future requirements.
[0069] In an embodiment, different leaves benefits can be explained as
below:

Jamun leaves benefits • Good for diabetics
• Improve immunity
• Helps increase Hemoglobin count
• Treats Hypertensions
• Cure Liver Disorder
lemon leaves benefits • Helps in keeping the body cool
• Enhance your mood and eliminate stress
• The lemon leaves can be used to treat nerve
disorders like insomnia, nervousness and
palpitation.
• For migraine headache and asthma, soak two
handfuls [a handful is the amount of dried or
fresh lemon leaves you can hold within your
fist] of fresh lemon leaves in one bottle (beer
bottle) of hot water.
• The Lemon leaf is also used for de-worming.
Mint leaves benefits • It promotes digestion
• It can help in weight loss
• It improves memory
• It can prevent cancer
• It fights depression and fatigue
Guava leaves benefits • Reduce acne
• Improve sleep quality
• Good for brain
• Beats Toothache
• Prevents hair loss

Tulsi leaves benefits « > Promotes respiratory health
> Promotes Eye health
> Helps cure fever naturally
> Blood purifier
> Chewing Tulsi leaves relieves cold & flu
* Excellent mouth freshener
Peepal leaves benefits « > It treats heart disease
> It can treats Jaundice
> It helps diabetics
> It helps with nosebleed
> It treats Piles
[0070] FIG. 3 illustrates exemplary module diagram of internet of things
(IoT) and artificial intelligence enabled tea vending system, in accordance with an exemplary embodiment of the present disclosure.
[0071] In one embodiment, the proposed internet of things (IoT) and
artificial intelligence enabled tea vending system 302 may include at least one processor 306, an input/output (I/O) interface 304, and a memory 308. The at least one processor 306 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. Among other capabilities, the at least one processor 306 is configured to fetch and execute computer-readable instructions stored in the memory. The I/O interface may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like. The I/O interface may allow the proposed system to interact with a user directly or through the client devices. Further, the I/O interface may enable the proposed system 302 to communicate with other computing devices, such as web servers and external data servers (not shown). The I/O interface can facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks,

such as WLAN, cellular, or satellite. The I/O interface may include one or more
ports for connecting a number of devices to one another or to another server.
[0072] In an embodiment, the user interface or display device 304
communicably coupled with the smart vending system 302 and receives one or more inputs associated with physical or physiological characteristics of a user. The user interface 304 enables to receive user's choice such as tea leaves, required sugar or honey. The user interface 304 enables to receive physical parameters such as BP, weight, sugar. The user interface 304 enables to allow a user to control and interact with the smart vending system 302 as explained hereinafter. The user interface 304 may alternatively be a standalone device separate from enclosure, and connected to the smart vending system 302 via a cable or wireless connection.
[0073] In another embodiment, the memory 308 can store a machine
learning (ML) module 310.
[0074] In another embodiment, the processor 306 can execute said ML
module 310 to enable said smart vending system 302.
[0075] In another embodiment, the processor 306 can determine at least
one current health condition of the user based on the one or more received inputs. The processor 306 can obtain a pre-determined quantity of a combination of the edible leaves or edible herbs from the one or more components to dispense the nutritional serving in a container based on the determined health condition. For example, the processor receives user's BP, weight by the user interface 304 and then the processor 306 obtains tea leaves and herbs based on health condition of user. If the user is diabetic then tea vending system enables to obtain jamun leaves.
[0076] FIG. 4 illustrates exemplary flow diagram of a proposed system,
in accordance with an exemplary embodiment of the present disclosure.
[0077] At step 402, a display device communicably coupled with the
smart vending system receives one or more inputs associated with physical or physiological characteristics of a user.

[0078] At step 404, the smart vending system determines at least one
current health condition of the user based on the one or more received inputs.
[0079] At step 406, the smart vending system obtains a pre-determined
quantity of a combination of edible leaves or edible herbs from one or more components of the smart vending system to dispense the nutritional serving in a container based on the determined health condition.
[0080] FIG. 5 illustrates an exemplary computer system utilized for
implementation of the proposed system, in accordance with an exemplary embodiment of the present disclosure. In an embodiment, proactive network security assessment based on benign variants of known threats can be implemented in the computer system 500 to enable aspects of the present disclosure. Embodiments of the present disclosure include various steps, which have been described above. A variety of these steps may be performed by hardware components or may be tangibly embodied on a computer-readable storage medium in the form of machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with instructions to perform these steps. Alternatively, the steps may be performed by a combination of hardware, software, and/or firmware. As shown in the figure, computer system 400 includes an external storage device 510, a bus 520, a main memory 530, a read only memory 540, a mass storage device 550, communication port 560, and a processor 570. A person skilled in the art will appreciate that computer system 500 may include more than one processor and communication ports. Examples of processor 570 include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOC™ system on a chip processors or other future processors. Processor 570 may include various modules associated with embodiments of the present invention. Communication port 560 can be any of an RS-232 port for use with a modem based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. Communication port 560 may be chosen depending on a network, such a Local

Area Network (LAN), Wide Area Network (WAN), or any network to which computer system 500 connects. Memory 530 can be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. Read only memory 540 can be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or BIOS instructions for processor 570. Mass storage 550 may be any current or future mass storage solution, which can be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), e.g. those available from Seagate (e.g., the Seagate Barracuda 7200 family) or Hitachi (e.g., the Hitachi Deskstar 7K1000), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA arrays), available from various vendors including Dot Hill Systems Corp., LaCie, Nexsan Technologies, Inc. and Enhance Technology, Inc. Bus 520 communicatively couples processor(s) 470 with the other memory, storage and communication blocks. Bus 520 can be, e.g. a Peripheral Component Interconnect (PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which connects processor 570 to software system. Optionally, operator and administrative interfaces, e.g. a display, keyboard, and a cursor control device, may also be coupled to bus 520 to support direct operator interaction with computer system 400. Other operator and administrative interfaces can be provided through network connections connected through communication port 560. External storage device 510 can be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives, Compact Disc - Read Only Memory (CD-ROM), Compact Disc - Re-Writable (CD-RW), Digital Video Disk - Read Only Memory (DVD-ROM). Components described above are meant only to exemplify various

possibilities. In no way should the aforementioned exemplary computer system limit the scope of the present disclosure.
[0081] While the preferred embodiment of the invention has been set
forth for the purpose of disclosure, modifications of the disclosed embodiment of
the invention as well as other embodiments thereof may occur to those skilled in
the art. Accordingly, the appended claims are intended to cover all embodiments,
which do not depart from the spirit and scope of the invention.
[0082] The foregoing object, features and advantages will be able to
easily carry out self-technical features of the present invention one of ordinary
skill in the art are described later in detail with reference to the accompanying
drawings, accordingly. If the detailed description of the known art related to the
invention In the following description of the present invention that are
determined to unnecessarily obscure the subject matter of the present invention,
and detailed description thereof will not be given. It will be described in the
following, a preferred embodiment according to the present invention with
reference to the accompanying drawings, for example, in detail. Like reference
numerals in the drawings it is used to refer to same or similar elements.
[0083] It should be apparent to those skilled in the art that many more
modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms "comprises" and "comprising" should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, components, or steps that are not expressly referenced. Where the specification claims refers to at least one of something selected from the group consisting of A, B, C ....and N, the text should be interpreted as requiring only one element from the group, not A plus N, or B plus N, etc. The foregoing description of the specific embodiments will so fully reveal

the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the appended claims.

We Claim:
1.A smart vending system (302) for dispensing a nutritional serving, the
smart vending system comprising:
a display device (304) communicably coupled with the smart vending system (302) and configured to receive one or more inputs associated with physical or physiological characteristics of a user;
one or more components arranged in the smart vending system, each of said one or more components adapted to store edible leaves or edible herbs;
a memory (308) storing a machine learning (ML) module (310);
a processor (306) configured to execute said ML module (310) to enable said smart vending system to:
determine at least one current health condition of the user based
on the one or more received inputs, obtain, based on the determined
health condition, a pre-determined quantity of a combination of the edible
leaves or edible herbs from the one or more components to dispense the
nutritional serving in a container.
2. The smart vending system (302) as claimed in claim 1, wherein the one or more inputs are received in the form any or combination of audio inputs, video inputs, and gesture based inputs.
3. The smart vending system (302) as claimed in claim 1, wherein the pre-determined quantity of the combination of the one or more extracts is mixed with water before dispensing the nutritional serving.
4. The smart vending system (302) as claimed in claim 1, wherein the pre-determined quantity of the combination of the one or more extracts is mixed with water after dispensing the nutritional serving.
5. The smart vending system (302) as claimed in claim 1, wherein the smart vending system comprises a plurality of sensor devices to obtain the physical or the physiological characteristics in real-time.

6. The smart vending system (302) as claimed in claim 1, wherein the physical or the physiological characteristics of the user are obtained from details available in one or more databases over the internet.
7. The smart vending system (302) as claimed in claim 1, wherein the system comprises an internet of things (IOT) based communications module (314) connecting said SVS to a communications network.
8. The smart vending system (302) as claimed in claim 1, wherein the one or more extracts of edible leaves or edible herbs are edible leaves or edible herbs are at least selected from any or combination of guava, mango, mint, lemon, and pupil.
9. The smart vending system (302) as claimed in claim 1, wherein the nutritional serving is selected from any or combination of a tea, a coffee, a soup, and a health drink.
10. A method for dispensing a nutritional serving at a smart vending system, the method comprising:
receiving (402), at a display device communicably coupled with the smart vending system, one or more inputs associated with physical or physiological characteristics of a user;
determining (404), at the smart vending system, at least one current health condition of the user based on the one or more received inputs;
obtaining (406), at the smart vending system, based on the determined health condition, a pre-determined quantity of a combination of edible leaves or edible herbs from one or more components of the smart vending system to dispense the nutritional serving in a container.