FIELD OF THE INVENTION
This invention relates to the field of Marketing. A new approach to digital marketing that
incorporates artificial intelligence (AI) and the blockchain.
BACKGROUND OF THE INVENTION
Artificial intelligence (AI) simulates human intellect on computers. Expert systems, NLP,
voice recognition, and machine vision are AI applications. The 'Internet of Things (IoT) is the
network and communication between internet-enabled gadgets. IoT will let marketers monitor
the buying funnel, user location, personalised targeting, and more. The Internet of Things
allows marketers to bridge the digital and physical worlds by thinking outside the box and
beyond tailored messages.
Based on a literature review, the present research investigates the main shift in the marketing
approach to attract millennials using IoT. Most studies define Millennials as individuals born
between 1980 and 2000. Millennials who use IoT are more willing to share their data with
advertising and companies, allowing marketers to better target customers. Existing systems
have flaws. Therefore, a new marketing system is needed. The innovation provides a new
digital marketing approach integrating AI and blockchain.
SUMMARY OF THE INVENTION
Therefore, the current invention offers a unique method for conducting digital marketing that
makes use of both blockchain and artificial intelligence. One may market their goods via their
smartphone without ever travelling and coordinating with billboard owners across various
districts or states using the current innovation, which is an IoT (Internet of Things) based
highway advertising digital board that was created

Climate change and quickly depleting nonrenewable energy sources are a driving force behind sustainable energy research and development that is impacting all countries and enterprises. The development of green energy, or renewable energy, is now a critically active and growing research topic. Of the many kinds of renewable energy, solar power is the most common and well-known source of energy which can be obtained easily and has fewer limitations to purchase and installation. Solar energy generation is still comparatively expensive when compared to fossil fuels, and the methods for storing the energy is often insufficient for power supply through the night, prolonged storms and overcast cloudy weather. The purpose of this is to define the technology development of solar power and forecast the solutions which have the greatest chance for market adaptation as well as providing a source of energy during the day which may also be stored and used at night. Sunlight is a major source of inexhaustible free energy on the earth. Several renewable energy sources (i.e., hydraulic, biomass, geothermal, and solar) can be utilized to yield sufficient energy for power generation. Of these, solar energy has significant global potential since geothermal and hydraulic (e.g., damns) are limited by geographic locations and biomass (e.g., wood and agricultural products, solid waste, landfill gas, biogas, ethanol, biodiesel) requires combustion that actually worsens the severity of carbon emissions. Technologies are being developed to generate electricity from harvested solar energy. Several solar energy systems are economically viable and have been applied throughout the world as renewable alternatives (but not completely replacing conventional energy sources). Countries, such as the United States, Germany and China, have significant technological R&D and manufacturing capabilities that can be used to promote domestic low-carbon policies and develop an internationally competitive green industry. Solar research is associated with the current drive toward reducing global carbon emissions, a major global environmental, social, and economic issue that energy manufacturing competes against the ubiquitous use of fossil fuels. Studies show that the latest development of solar materials has created a new research frontier to combine solar cells with the Internet of Things (IoT) devices to build smart grids with nighttime capabilities. This solar technological review research is thoroughly and uniquely conducted and cross-referenced based on both collections of academic literature and global patents. The systematic investigative process flow is illustrated in Figure 1. Patent documents are retrieved from Derwent Innovation (DI), which includes online patent datasets from more than 90 national and regional patent corpuses and is widely used for global patent-based analyses and case studies. In any given domain, the ontology model can be iteratively and periodically retrained and modified while more relevant literature and patents are updated from both WoS and DI corpuses. Afterward, based on the ontology schema, the research further discovers the major technological evolution trends in major categories, using a modified formal concept analysis (MFCA) approach. Worth noting about the proposed technology mining methodology, the patent evolutions in major clusters identified using the non-supervised clustering and LDA algorithms, are further cross-referenced to literature to strengthen the validity of the discovered R&D development trends. The purpose of this research is to review solar technology development and describe the current development path for the domain. By constructing a machine learning program system. As the technology matures and the product life cycle enters the growth stage, there is a fast, increasing demand for equipment and services. Renewable energy sources are a viable but expensive alternative with ongoing concerns about the efficiency, cost and implementation across widespread electrical grid infrastructures. Most renewable energy technologies are in the late introductory stage of the product life cycle and yet demand has not seen fast, growing demand. This type of market response is often called the Gompertz effect since significant capital investments have been made in non-renewable energy facilities that are not fully depreciated and can function for many more decades. Renewable energy such as wind and solar power cannot produce power reliably with current technology since power production rates change with seasons, months, days, or even within a day. The marketplace requires large scale and affordable solutions to alleviate fluctuating output and provide methods to store excess production for later consumption. Solar energy is one of the most common and popular sources of clean energy, and the requirement to have access to sunlight is a very simple requirement compared to other solutions. Direct solar radiation may have the greatest potential for large-scale utilization once viable energy storage technology is developed.
Concentrating solar power (CSP) plants generate solar thermal electricity without greenhouse gas emissions and is a key energy technology with a negative impact on climate change. A thermoelectric solar plant uses a set of units arranged in the following order. The first unit in the sequence is a mirror designed to collect solar radiation and concentrate it at a focal point. The second unit, linked to the solar concentrator, is the receiver and the heat exchanger which circulates heat transfer fluid (such as molten salt or synthetic oil) to absorb the concentrated heat. The final unit consists of a second heat exchanger that transfers the accumulated thermal energy to another fluid (usually steam) which drives a turbine electric generator. To reduce the cost per area required by photovoltaic (PV) cells, solar concentrators rely on a set of mirrors or moving mechanical structures to direct the light to the concentrator as the sun moves. Solar concentrators have disadvantages since they need to track the sun’s position and may be affected by overheating from the concentration of light and heat on the solar cells. The advantages of using volume holographic optical elements are appealing for lightweight and cheap solar concentrator applications and are expected to become an important advancement when integrated into solar panels. The physical principles and main advantages and disadvantages, such as cool light concentration, selective wavelength concentration and the possibility to implement passive solar tracking are discussed. Different configurations and application strategies are also discussed in this.
Unlike solar PV technologies, CSP plants use steam turbines that match conventional electrical generating services. CSP plants can be equipped with fossil fuel systems to deliver additional energy or to produce electricity during the night or when clouds block the sun. There are four types of CSP reflection mirrors: solar power towers, Fresnel reflectors, Sterling dishes and parabolic troughs. CSP can use molten salt to store heat, enabling the generation of electricity for several hours even without sunshine. During off-peak hours, the CSP’s power generation can be adjusted according to electricity demand. The power generation can be shut down quickly and the accumulated heat can be stored by the molten salt. Today’s most advanced CSP systems are towers integrated with two-tank, molten-salt thermal energy storage, delivering thermal energy at 565 ?C for integration with conventional steam as Rankine power cycles. The power towers trace their lineage to the 10-MWe pilot demonstration of Solar Two in the 1990s. The design lowered the cost of CSP electricity by approximately 50% over the prior generation of parabolic trough systems. However, the decrease in cost of CSP technologies has not kept pace with the falling cost of PV systems and examined and compared two energy storage technologies, i.e., batteries and pumped hydro storage (PHS), for the renewable energy powered micro-grid power supply system on a remote island. It was found that the employment of conventional battery had higher life-cycle costs (LCC) than the advanced deep cycle battery, indicating that using deep cycle batteries is more suitable for a standalone renewable power supply system. The pumped storage combined with battery bank had almost half LCC as a conventional battery, making this combined option more cost-competitive than the sole battery option. Solar photovoltaic (PV) technologies may also be used to convert solar energy into long term storable forms by using electricity to cause chemical reactions, such as the conversion of water to hydrogen and oxygen. Solar PV systems produce no greenhouse gas emissions during operation, do not produce other pollutants such as oxides of sulfur and nitrogen, and limit the use of water for cooling. Knowledge of solar radiation is important for the integration of energy systems using solar panels on buildings, greenhouses, or with grid networks. For the optimal management of energy, the development of forecasting tools is needed to anticipate the rates of energy consumption. Since global horizontal irradiation data are rarely measured, and built an artificial neural network model to estimate the values. As solar collectors are often tilted to face the sun, a second ANN model was further developed to transform horizontal irradiation data into global tilted irradiation data.
The most widely adapted solar cell is constructed with silicon wafers and accounts for about 90% of the total global output. Due to the shortage of raw materials, the traditional silicon wafer solar cells are not meeting the demand and cost requirements of the fast-growing global market. Thin film conductors have become the technology focus of new generation solar cells since they do not require much silicon. There are many types of thin film solar cells, including germanium films (amorphous germanium a-Si, microcrystalline germanium c-Si, stacked a-Si/c-Si), compound semiconductors (copper indium gallium selenide CIS/CIGS, cadmium telluride CdTe) and dye sensitization solar cells (DSSC). Although thin film solar cells have low energy conversion efficiency, low mass production yield, and high costs, there are many advantages such as material savings since they can be fabricated using inexpensive glass or plastic substrates, can be customized and offer greater flexibility for structural applications. The tandem cell is a PV cell which uses two solar cells with different absorption characteristics enabling a wider range of the solar spectrum to be converted to energy. A transparent titanium oxide (TiOx) layer separates and connects the two cells. The TiOx layer serves as the electron transporting and collection layer for the first cell, and is the foundation that enables the fabrication of the second cell to complete the tandem cell architecture. The technical difficulty of the tandem battery is that the current generated must match and the currents generated by the two layers of the battery are not easy to synchronize. High concentration PV technology has received international attention due to advantages of efficient high-power generation, a low temperature coefficient, and the potential to reduce power generation costs. PV systems are frequently designed to operate and interconnect with the electric utility grid. The main component in grid-connected PV systems is the inverter, or power-conditioning unit (PCU). The PCU converts the DC power into AC power which is consistent with the voltage and power requirements of the grid and automatically stops supplying power when the grid meets the power demand.
Electricity must be used as it is produced, but it can be stored as long as it is converted to another energy form (such as chemical energy in batteries) or used to pump water uphill where the hydrostatic power can be used to power turbines. The limitation of solar power is that the technology of transforming electricity into storable energy has not matured. To overcome the intermittency problem of solar power, a storage medium or energy carrier is required. There are three technologies that are currently used as viable energy storage solutions for solar power, i.e., smart batteries, thermal energy storage and hydrogen fuel cells. First, smart batteries can store energy generated by solar panels, which means there is no waiting for sunshine before starting up machines or appliances. The energy generated during the day can supply power at night. Thermal energy storage is commonly used with thermal solar power plants which generate high temperatures using mirror arrays rather than photovoltaic panels. The stored heat (e.g., molten salt) vaporizes water into steam to activate the turbine and electric generators during the night. Fuel cells can be used as part of a solar–hydrogen energy cycle where a system converts water to hydrogen and oxygen. Hydrogen and oxygen are further stored by a fuel cell to produce electricity without sunlight. Large-scale energy storage solutions are still in their infant stages, yet these technologies will greatly influence the renewable energy industry. Solar thermal systems concentrate sunlight to generate steam and require isothermal energy storage systems to store the energy. One storage option is the application of phase change materials to absorb or release energy. Some natural substances such as salt hydrates, paraffin, fatty acids and other compounds have high latent heat coefficients which are required for solar storage applications. The limitation of salt hydrates is chemical instability when heated, as they degrade at high temperatures and lose water in every heating cycle. Some salts are chemically aggressive towards structural materials. These two factors, poor stability in thermal cycling and corrosion between the phase change materials and the container, have limited the widespread utilization of latent heat storage technologies. For parabolic trough power plants, heat storage systems with operating temperatures between 300 and 390 ?C are widely used. A solid media heat storage system was developed and tested in a parabolic trough test loop in Spain. The experimental results show the effects of changing parameters on the storage system. While the effects of the storage material properties are limited, the selected geometry of the storage system is important. Weather forecasting errors affect the power and load demand, and the economic performance of the PV power systems. An adaptive solar power forecasting model was proposed for precise solar power forecasting. The model captures the characteristics of forecasting errors and revises the predictions by combining data clustering, variable selection and neural networks. The combined model approach uses the improved k-means clustering algorithm, the least angular regression algorithm and back propagation neural networks.
PV storage systems can be divided into off-grid, on-grid and hybrid systems. The off-grid system, or stand-alone system, consists of battery packages, photovoltaic charge and discharge controllers, battery packs, off-grid inverters and AC/DC converters. The controller manages the charging and discharging of the battery and protects the battery from overcharging and completely discharging. The function of the off-grid inverter is to convert the DC power into AC power and provide it to a system or a utility grid. The design of a stand-alone system must take into account the capacity of the battery to be used at night, knowing the power load, predicting cloudy days and determining the requirements of solar cell module boards. The design is more complicated and more expensive. The typical application is used in high mountain areas, outlying islands or undeveloped areas without power grids. Figure 2 shows the operation concept of an off-grid storage system.
On-grid system includes PV array, PV controller, battery packs, battery management system, inverter, energy storage unit, and dispatch control system. Solar panels turn light into power to charge lithium batteries. Inverter converts DC to AC. The controller regulates the battery pack's functioning condition based on sunlight intensity and load. The surplus DC power is stored in a battery pack. When power production isn't enough, the controller employs batteries to maintain system stability. The on-grid inverter system converts DC power from the battery into a standard voltage for the user-side low-voltage grid or high-voltage grids. Safe and simple construction, low maintenance, and effective solar energy production are benefits. Figure 3 depicts on-grid storage system operating. Hybrid solar PV combines on-grid and storage modules. The PV system charges the batteries throughout the day, while the power company distributes energy at night. The system has enough battery backup for public spaces. Hybrid systems are more difficult and costly to install. Figure.4 depicts system architecture. Clustering is an application of unsupervised machine learning and divides documents into groups based on their correlations. A good cluster result has greater similarity within the same group but smaller similarity between different clusters. By exploring keyword terms that appeared in domain patents, patents with similar keyword terms are clustered into the groups. Normalized TF-IDF to find the key terms in the corpus of 3D printing patents, considering different lengths of patent documents, for hierarchical clustering, K-means, and K-medoids to better analyze patent sub-technology clusters. An approach to forecast promising technologies by clustering patents was proposed. A symmetrical patent-patent matrix is constructed by calculating the Pearson’s correlation coefficient between patent documents. Then, the k-means algorithm is used to cluster patents with the average silhouette width applied to determine the best number of clusters. The topic for clusters is defined by examining the combination of patent classification categories from each cluster. Finally, patent indicators such as forward citations, triadic patent families and independent claims are analyzed to summarize the promising technologies.
Word embedding is a technique that converts words in a sentence into a vector. The algorithm constructs a set of features for each word from the text and then distributes the features. This neural network-based language model allows machines to learn the relationship of words by calculating the distance between two vectors. The words are mapped to the other space, which has the characteristics of injective and structure-preserving. When training the neural network model, each word is transformed from a high-dimensional vector into a continuous lower-dimensional vector. In addition to finding correlations between words, word embedding serves as the basis for downstream natural language processing tasks such as text categorization, text clustering, part-of-speech tagging and sentiment analysis. The concept of word embedding has been widely applied in natural language processing and many studies have been proposed such as Google’s word2vec, Facebook’s fastest and Stanford’s Glove. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best-performing techniques based on different types of neural networks.
However, this invention develops a novel framework for patent technology mining, combining multiple, unsupervised machine learning algorithms in a specific workflow. In this research, k-means was used as the algorithm for clustering. The principle is that given a set of observations (x1, x2, . . . , xn), where each observation is a d-dimensional real vector, k-means clustering aims to partition the n observations into k (=n) sets S = {S1, S2, . . . , Sk} so as to minimize the within-cluster sum of squares variance. The objective function I defined by formula (1), where µi is the mean of points in Si.To determine the k values, the number of cluster groups with best performance, silhouettes as a graphical aid to the interpretation and validation of cluster analysis. Let b(i) be the highest average distance of i to all points in any other cluster. The cluster with the highest average dissimilarity is selected as the neighboring cluster of i since it is the best fit cluster for point i. The mainstream technology evolves from off-grid to grid-connected systems including technologies such as self-balance storage systems and wireless integrated sensors which are critical for smart grid networks. The evolution graph shows that solar technology is trending toward intelligent energy supply systems. The smart grid electricity supply system can be integrated with cyber-physics systems and the renewable resources industry. Smart battery management and supply alance systems are essential parts of the cyber-physical system. , Claims:1. The development of green energy, or renewable energy, is now a critically active and growing research topic.
2. Solar energy has significant global potential since geothermal and hydraulic (e.g., damns) are limited by geographic locations and biomass (e.g., wood and agricultural products, solid waste, landfill gas, biogas, ethanol, biodiesel) requires combustion that actually worsens the severity of carbon emissions.
3. Renewable energy sources are a viable but expensive alternative with ongoing concerns about the efficiency, cost and implementation across widespread electrical grid infrastructures.
4. Concentrating solar power (CSP) plants generate solar thermal electricity without greenhouse gas emissions and is a key energy technology with a negative impact on climate change. A thermoelectric solar plant uses a set of units arranged in the following order.
5. Unlike solar PV technologies, CSP plants use steam turbines that match conventional electrical generating services
6. The most widely adapted solar cell is constructed with silicon wafers and accounts for about 90% of the total global output.
7. Electricity must be used as it is produced, but it can be stored as long as it is converted to another energy form (such as chemical energy in batteries) or used to pump water uphill where the hydrostatic power can be used to power turbines.
8. PV storage systems can be divided into off-grid, on-grid and hybrid systems. The off-grid system, or stand-alone system, consists of battery packages, photovoltaic charge and discharge controllers, battery packs, off-grid inverters and AC/DC converters.
BRIEF DESCRIPTION OF THE INVENTION
The replication of human cognitive processes by machines, most notably computer systems, is
what is referred to as artificial intelligence (AI). Expert systems, natural language processing
(NLP), voice recognition, and machine vision are all examples of specific uses of artificial
intelligence. The phrase "Internet of Things" (IoT) was created to define the network and
communication between many internet-enabled gadgets that are used in everyday life.... In
addition, the Internet of Things will be of great assistance to the marketing sector in terms of
monitoring the sales funnel, customer location awareness, tailored targeting, and a great deal
more. When marketers are willing to think creatively and go beyond the simple concept of
personalised messaging, the Internet of Things gives them the ability to create entirely new
experiences by bridging the digital and physical worlds. These experiences can only be created,
however, if they use the Internet of Things. Based on a thorough research, the present research
investigates the significant shift in marketing approach that would be required to effectively
communicate with members of the millennial generation if they adopted IoT. According to the
findinJgs of the vast majority of studies, those people who were born between the early 1980s
and the early 2000s are the members of the Millennial generation. Millennials who make use
of IoT are more inclined to share their data with companies and advertising, which enables
marketers to collect information and target customers in a more targeted manner.
The Internet of Things makes it possible to implement tailored applications across the board,
including in the fields of manufacturing and service provision. The analysis of data from the
Internet of Things may, for instance, make it easier to provide individualised medical treatment
or determine the optimal lot size for certain products, which effectively enables production
processes to be modified as necessary. In the context of production, this will make it possible
to get more customised outcomes rather than making an effort to anticipate the need of the
general public. The Internet of Things will also encourage users in ways that would otherwise
be impossible, such as helping persons with disabilities and special needs to be more
autonomous. This is just one example of how the IoT will change people's lives for the better.
The incorporation of IoTs into people's daily lives would make it necessary to conduct an indepth analysis of the implications that this would have for their safety and privacy. This
analysis would need to take into account the maintenance of people's personal data as well as
the implementation of appropriate safeguards. The development of suitable regulatory systems
for protecting consumer rights and privacy would be an essential factor in fostering recognition
and confidence. Because of the Internet of Things, companies and government organisations
will be able to accomplish their objectives with strategies that are novel and innovative. People
are increasingly communicating with their technology and improving their lives by utilising
something called the Internet of Things. ig.1 Depicts the Blockchain in Digital Marketing.
As a consequence of the Internet of Things, different requirements would be imposed on the
infrastructures and facilities used for connecting devices. These innovations will be supported
by policies that make specific infrastructures and facilities more cost-effective, increase their
efficiency, and increase their use. Because of this, international governance and standards may
need to be verified in order to assure the performance and stability of communication networks
and facilities, which will ultimately lead to the expansion of confidence in the Internet of
Things (IoT). The Internet of Things is not just a burgeoning infrastructure but also a
burgeoning creative force in its own right. The capacity of innovators to conceive of and
introduce novel Internet of Things methods, as well as the capacity of policymakers to develop
legislative and regulatory mechanisms in key areas such as telecommunications, safety,
protection, and consumer policy, are both factors that influence the type of innovation, the field
in which it is implemented, and the possible benefits that can be realised. Member nations will
benefit from better understanding of best practises and policy approaches in the evolving
internet of things climate. \The Internet of Things (IoT) refers to an ecosystem in which the
operation of software and services is enabled by the collection of data from sensors that can
sense and interact with the physical world. In the Internet of Things, devices and artefacts offer
networking connectivity, which may be a direct connection or one that is mediated via a local
or wide area network (LAN or WAN). In addition to the Internet of Things, another subject
that is analogous is Machine to Machine (M2M) communications. M2M communications are
distinguished by the fact that they include the autonomous transfer of data between computers
and applications with little or no human interaction. M2M eliminates the need for human
mediation in such circumstance since it incorporates knowledge into the framework to
encourage the promotion of automated judgement and intervention.
A battery according to the present invention is made up of one or more electrochemical cells,
and it may be connected to other pieces of electrical equipment such flashlights, mobile phones,
and electric vehicles. If the electric power comes from a battery, the controller will be attached
to the battery's cathodic terminal, which is positive, and the anode, which is negative. The
micro controller may communicate with the outside world via its connections to the other
hardware components. The aforementioned microcontroller is a single-chip device that
incorporates a processor, memory, and input/output (I/O) peripherals. The individuals in charge
of marketing transmit messages to the Wi-Fi Module so that the messages may be shown on
the board. This is accomplished by using the road side unit, and in the marketing personnel
unit, the Blynk app is running on a smartphone that is connected to the Wi-Fi module. The
information is then saved in the cloud server, and the controller is used to retrieve the data so
that it can be displayed in the road side unit.
The ESP8266 Wi-Fi Module is a self-contained SOC that comes with an integrated TCP/IP
protocol stack. It can provide access to your Wi-Fi network for whatever microcontroller you
want to use. The ESP8266 has the ability to either host an application or offload all Wi-Fi
networking tasks from another application processor. Both of these options are possible. The
primary function of this component is to facilitate the connecting of the advertising board
module to a connection consisting of numerous networks. In order to enable the wireless
transmission of information between the server and the client.
Blynk is a new platform that gives you the ability to rapidly construct interfaces for controlling
and monitoring your hardware projects using your iOS or Android mobile. You can do this
from anywhere. The user is able to construct a project dashboard by installing the Blynk
software and then arranging buttons, sliders, graphs, and other widgets onto the screen in the
desired configuration. An application that is simple to use and allows the user to easily collect
the information necessary for the creation of his product. Applications of AI in digital
marketing are shown in Fig.2.
The detailed description makes clear many of the features and benefits of the invention, and as
a result, the claims that are attached to it are meant to cover all of those features and benefits
of the invention that are considered to be within the purview of the invention's original intention
and intended application. In addition, it is not desired to restrict the invention to the precise
construction and operation that has been illustrated and described. As a result, any suitable
modifications and equivalents may be resorted to, as long as they fall within the scope of the
invention. This is because those who are skilled in the art will readily be able to think of
numerous modifications and variations. After intelligent management of the system for
prescribing medications, the suggested system additionally includes an autonomous system for
the distribution of medications. Additionally, the database keeps track of information on the
duration of the drug delivery period to the patient. This allows for an alert to be given to the
user as well as the delivery person when the user's purchase of the medicine is approaching its
due date. The user and the person who will be delivering the pharmaceuticals both get a copy
of the list of medications that will be sent to them. This allows for the delivery person to verify
that the user does not already have any medications that are not required. The user has the
ability to back out of any pharmaceutical purchase up to the point when the delivery is given.
Whenever an order is prompted to the user, a crosscheck of the drug interactions is performed;
in the event that any side effects due to any drug interactions occur, alerts are sent not only to
the user but also to an authenticated person related to the pharmacy service and to the pharmacy
management. Any self-prescription is provided by an alert to the user. If there is any negative
effect due to a medication interaction, then the order is immediately cancelled by the
autonomous system. The patient only receives authorised prescriptions when they have them
delivered. This strategy is effective in the management of medication prescriptions, and it
guarantees that there will be no adverse effects caused by drug interactions.

CLAIMS

1. The Internet of Things makes it possible to implement tailored applications across the
board, including in the fields of manufacturing and service provision.
2. A battery according to the present invention is made up of one or more electrochemical
cells, and it may be connected to other pieces of electrical equipment such as flashlights,
mobile phones, and electric vehicles.
3. A unique system for digital marketing utilising AI and blockchain, characterised in that a
battery with external electrical equipment such as torches, mobile phones, and electric cars,
wherein the cathodic terminal is positive and the anode is negative, is linked to the
controller.
4. A method for digital marketing leveraging AI and blockchain in which marketers transmit
messages to a Wi-Fi Module to show on a board.
5. The revolutionary digital marketing system employing AI and blockchain, where the
ESP8266 Wi-Fi Module is a self-contained SOC with an integrated TCP/IP protocol stack
that can allow any microcontroller access to your Wi-Fi network.
6. Blynk is a new platform that gives you the ability to rapidly construct interfaces for
controlling and monitoring your hardware projects using your iOS or Android mobile.
7. Whenever an order is suggested to the user, a crosscheck of medication interactions is done;
if adverse effects due to drug interactions occur, alarms are given to the user, a pharmacy
service representative, and pharmacy management.