FIELD OF THE INVENTION

Generally, the present disclosure relates to the field of data processing. More specifically, the present disclosure relates to methods and systems for facilitating selection of a professional based on objective criteria.

BACKGROUND OF THE INVENTION

It is challenging for consumers to choose a working professional, such as a lawyer, attorney, teacher, carpenter and so on, for availing services, without any prior review or rating of the previous work done by that particular working professional. The consumers may have to research a lot, before finalizing a particular working professional. This is a time-consuming process, and it does not guarantee the quality of the services provided due to the lack of trustworthy sources. There is no platform for reviewing/rating any working professional before the client can use the services of that working professional.

Further, there is no system to grade/scale a working professional and the work done by the working professional throughout a career of the working professional.

Further, there is no system to grade/scale a working professional, and promote a highly graded working professional on one or more platforms automatically.

Therefore, there is a need for improved methods and systems for facilitating selection of a professional based on objective criteria that may overcome one or more of the above-mentioned problems and/or limitations.

SUMMARY OF THE INVENTION This summary is provided to introduce a selection of concepts in a simplified form, that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter. Nor is this summary intended to be used to limit the claimed subject matter’s scope.

Discloses is a method to facilitate selection of a professional based on objective criteria. The method may include receiving, using a communication device, at least one nominee identifier from at least nominator device associated with at least one nominator. Further, the at least one nominee identifier may be associated with at least one nominee. Further, the at least one nominee may be associated with at least one field. Yet further, the method may include receiving, using a processing device, at least one nominee data associated with the at least one nominee based on the at least one nominee identifier. Further, the method may include analyzing, using the processing device, the at least one nominee data based on at least one predetermined factor. Yet further, the method may include generating, using the processing device, at least one score associated with the at least one nominee data based on the analyzing. Moreover, the method may include transmitting, using the communication device, the at least one score corresponding to the at least one nominee to at least one user device.

According to some aspects, a system to facilitate selection of a professional based on objective criteria is disclosed. The system comprising a communication device and a processing device. Further, the communication device may be configured for receiving at least one nominee identifier from at least nominator device associated with at least one nominator. Further, the at least one nominee identifier may be associated with at least one nominee. Further, the at least one nominee is associated with at least one field. Further, the communication device may be configured for transmitting, using the communication device, at least one score corresponding to the at least one nominee to at least one user device. Further, the processing device may be configured for receiving at least one nominee data associated with the at least one nominee based on the at least one nominee identifier. Further, the processing device may be configured for analyzing the at least one nominee data based on at least one predetermined factor. Further, the processing device may be configured for generating the at least one score associated with the at least one nominee data based on the analyzing. Both the foregoing summary and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing summary and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present disclosure. The drawings contain representations of various trademarks and copyrights owned by the Applicants.

In addition, the drawings may contain other marks owned by third parties and are being used for illustrative purposes only. All rights to various trademarks and copyrights represented herein, except those belonging to their respective owners, are vested in and the property of the applicants. The applicants retain and reserve all rights in their trademarks and copyrights included herein, and grant permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.

Furthermore, the drawings may contain text or captions that may explain certain embodiments of the present disclosure. This text is included for illustrative, non-limiting, explanatory purposes of certain embodiments detailed in the present disclosure.

FIG. 1 is an illustration of an online platform consistent with various embodiments of the present disclosure.

FIG. 2 is a block diagram of a system to facilitate selection of a professional based on objective criteria in accordance with some embodiments.

FIG. 3 is a block diagram of a system to facilitate selection of a professional based on objective criteria in accordance with further embodiments. FIG. 4 is a flowchart of a method to facilitate selection of a professional based on objective criteria in accordance with some embodiments.

FIG. 5 is a flowchart of a method to obtain sub-scores corresponding to parameters in accordance with some embodiments.

FIG. 6 is a flowchart of a method to providing a score associated with a nominee with a user in accordance with some embodiments.

FIG. 7 is a flowchart of a method to obtain consent from an institution in accordance with some embodiments.

FIG. 8 is a table showing predetermined factors, parameters, scores, and sub-scores in accordance with an exemplary embodiment.

FIG. 9 is a table showing predetermined factors, parameters, scores, and sub-scores in accordance with an exemplary embodiment.

FIG. 10 is a flow diagram of a method to facilitate selection of a professional based on objective criteria in accordance with an exemplary embodiment.

FIG. 11 is a block diagram of a computing device for implementing the methods disclosed herein, in accordance with some embodiments.

DETAIL DESCRIPTIONS OF THE INVENTION

All illustrations of the drawings are for the purpose of describing selected versions of the present invention and are not intended to limit the scope of the present invention.

As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should be understood, any embodiment may incorporate only one or a plurality of the above- disclosed aspects of the disclosure and may further incorporate only one or a plurality of the above-disclosed features. Furthermore, any embodiment discussed and identified as being“preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications, and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.

Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and exemplary of the present disclosure, and are made merely for the purposes of providing a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim limitation found herein and/or issuing here from that does not explicitly appear in the claim itself.

Thus, for example, any sequence(s) and/or temporal order of steps of various processes or methods that are described herein are illustrative and not restrictive.

Accordingly, it should be understood that, although steps of various processes or methods may be shown and described as being in a sequence or temporal order, the steps of any such processes or methods are not limited to being carried out in any particular sequence or order, absent an indication otherwise. Indeed, the steps in such processes or methods generally may be carried out in various different sequences and orders while still falling within the scope of the present disclosure. Accordingly, it is intended that the scope of patent protection is to be defined by the issued claim(s) rather than the description set forth herein.

Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such term to mean based on the contextual use of such term herein. To the extent that the meaning of a term used herein— as understood by the ordinary artisan based on the contextual use of such term— differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail.

Furthermore, it is important to note that, as used herein,“a” and“an” each generally denotes“at least one,” but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items,“or” denotes“at least one of the items,” but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items,“and” denotes“all of the items of the list.”

The following detailed description refers to the accompanying drawings.

Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While many embodiments of the disclosure may be described, modifications, adaptations, and other

implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the disclosure. Instead, the proper scope of the disclosure is defined by the claims found herein and/or issuing here from. The present disclosure contains headers. It should be understood that these headers are used as references and are not to be construed as limiting upon the subjected matter disclosed under the header.

In general, the method disclosed herein may be performed by one or more computing devices. For example, in some embodiments, the method may be performed by a server computer in communication with one or more client devices over a communication network such as, for example, the Internet. In some other embodiments, the method may be performed by one or more of at least one server computer, at least one client device, at least one network device, at least one sensor and at least one actuator. Examples of the one or more client devices and/or the server computer may include, a desktop computer, a laptop computer, a tablet computer, a personal digital assistant, a portable electronic device, a wearable computer, a smart phone, an Internet of Things (IoT) device, a smart electrical appliance, a video game console, a rack server, a super computer, a mainframe computer, mini -computer, micro-computer, a storage server, an application server (e.g. a mail server, a web server, a real-time communication server, an FTP server, a virtual server, a proxy server, a DNS server, etc.), a quantum computer, and so on. Further, one or more client devices and/or the server computer may be configured for executing a software application such as, for example, but not limited to, an operating system (e.g. Windows, Mac OS, Unix, Linux, Android, etc.) in order to provide a user interface (e.g. GUI, touch-screen based interface, voice based interface, gesture based interface, etc.) for use by the one or more users and/or a network interface for communicating with other devices over a communication network. Accordingly, the server computer may include a processing device configured for performing data processing tasks such as, for example, but not limited to, analyzing, identifying, determining, generating, transforming, calculating, computing, compressing,

decompressing, encrypting, decrypting, scrambling, splitting, merging, interpolating, extrapolating, redacting, anonymizing, encoding and decoding. Further, the server computer may include a communication device configured for communicating with one or more external devices. The one or more external devices may include, for example, but are not limited to, a client device, a third party database, public database, a private database and so on. Further, the communication device may be configured for communicating with the one or more external devices over one or more communication channels. Further, the one or more communication channels may include a wireless communication channel and/or a wired communication channel. Accordingly, the communication device may be configured for performing one or more of transmitting and receiving of information in electronic form. Further, the server computer may include a storage device configured for performing data storage and/or data retrieval operations. In general, the storage device may be configured for providing reliable storage of digital information. Accordingly, in some embodiments, the storage device may be based on technologies such as, but not limited to, data compression, data backup, data redundancy, deduplication, error correction, data finger-printing, role based access control, and so on. Further, one or more steps of the method disclosed herein may be initiated, maintained, controlled and/or terminated based on a control input received from one or more devices operated by one or more users such as, for example, but not limited to, an end user, an admin, a service provider, a service consumer, an agent, a broker and a representative thereof. Further, the user as defined herein may refer to a human, an animal or an artificially intelligent being in any state of existence, unless stated otherwise, elsewhere in the present disclosure. Further, in some embodiments, the one or more users may be required to successfully perform authentication in order for the control input to be effective. In general, a user of the one or more users may perform authentication based on the possession of a secret human readable secret data (e.g. username, password, passphrase, PIN, secret question, secret answer, etc.) and/or possession of a machine readable secret data (e.g. encryption key, decryption key, bar codes, etc.) and/or or possession of one or more embodied characteristics unique to the user (e.g. biometric variables such as, but not limited to, fingerprint, palm-print, voice characteristics, behavioral characteristics, facial features, iris pattern, heart rate variability, evoked potentials, brain waves, and so on) and/or possession of a unique device (e.g. a device with a unique physical and/or chemical and/or biological characteristic, a hardware device with a unique serial number, a network device with a unique IP/MAC address, a telephone with a unique phone number, a smartcard with an authentication token stored thereupon, etc.). Accordingly, the one or more steps of the method may include communicating (e.g. transmitting and/or receiving) with one or more sensor devices and/or one or more actuators in order to perform authentication. For example, the one or more steps may include receiving, using the communication device, the secret human readable data from an input device such as, for example, a keyboard, a keypad, a touch screen, a microphone, a camera and so on. Likewise, the one or more steps may include receiving, using the communication device, the one or more embodied characteristics from one or more biometric sensors.

Further, one or more steps of the method may be automatically initiated, maintained and/or terminated based on one or more predefined conditions. In an instance, the one or more predefined conditions may be based on one or more contextual variables. In general, the one or more contextual variables may represent a condition relevant to the performance of the one or more steps of the method. The one or more contextual variables may include, for example, but are not limited to, location, time, identity of a user associated with a device (e.g. the server computer, a client device etc.)

corresponding to the performance of the one or more steps, environmental variables (e.g. temperature, humidity, pressure, wind speed, lighting, sound, etc.) associated with a device corresponding to the performance of the one or more steps, physical state and/or physiological state and/or psychological state of the user, physical state (e.g. motion, direction of motion, orientation, speed, velocity, acceleration, trajectory, etc.) of the device corresponding to the performance of the one or more steps and/or semantic content of data associated with the one or more users. Accordingly, the one or more steps may include communicating with one or more sensors and/or one or more actuators associated with the one or more contextual variables. For example, the one or more sensors may include, but are not limited to, a timing device (e.g. a real-time clock), a location sensor (e.g. a GPS receiver, a GLONASS receiver, an indoor location sensor etc.), a biometric sensor (e.g. a fingerprint sensor), an environmental variable sensor (e.g. temperature sensor, humidity sensor, pressure sensor, etc.) and a device state sensor (e.g. a power sensor, a voltage/current sensor, a switch-state sensor, a usage sensor, etc.

associated with the device corresponding to performance of the or more steps).

Further, the one or more steps of the method may be performed one or more number of times. Additionally, the one or more steps may be performed in any order other than as exemplarily disclosed herein, unless explicitly stated otherwise, elsewhere in the present disclosure. Further, two or more steps of the one or more steps may, in some

embodiments, be simultaneously performed, at least in part. Further, in some

embodiments, there may be one or more time gaps between performance of any two steps of the one or more steps.

Further, in some embodiments, the one or more predefined conditions may be specified by the one or more users. Accordingly, the one or more steps may include receiving, using the communication device, the one or more predefined conditions from one or more and devices operated by the one or more users. Further, the one or more predefined conditions may be stored in the storage device. Alternatively, and/or additionally, in some embodiments, the one or more predefined conditions may be automatically determined, using the processing device, based on historical data corresponding to performance of the one or more steps. For example, the historical data may be collected, using the storage device, from a plurality of instances of performance of the method. Such historical data may include performance actions (e.g. initiating, maintaining, interrupting, terminating, etc.) of the one or more steps and/or the one or more contextual variables associated therewith. Further, machine learning may be performed on the historical data in order to determine the one or more predefined conditions. For instance, machine learning on the historical data may determine a correlation between one or more contextual variables and performance of the one or more steps of the method. Accordingly, the one or more predefined conditions may be generated, using the processing device, based on the correlation.

Further, one or more steps of the method may be performed at one or more spatial locations. For instance, the method may be performed by a plurality of devices interconnected through a communication network. Accordingly, in an example, one or more steps of the method may be performed by a server computer. Similarly, one or more steps of the method may be performed by a client computer. Likewise, one or more steps of the method may be performed by an intermediate entity such as, for example, a proxy server. For instance, one or more steps of the method may be performed in a distributed fashion across the plurality of devices in order to meet one or more objectives. For example, one objective may be to provide load balancing between two or more devices. Another objective may be to restrict a location of one or more of an input data, an output data and any intermediate data there between corresponding to one or more steps of the method. For example, in a client-server environment, sensitive data corresponding to a user may not be allowed to be transmitted to the server computer. Accordingly, one or more steps of the method operating on the sensitive data and/or a derivative thereof may be performed at the client device.

The present disclosure includes many aspects and features. Moreover, while many aspects and features relate to, and are described in the context of selection of

professionals, embodiments of the present disclosure are not limited to use only in this context.

FIG. 1 is an illustration of an online platform 100 consistent with various embodiments of the present disclosure. By way of non-limiting example, the online platform 100 to facilitate modeling of a financial instrument based on a physical model may be hosted on a centralized server 102, such as, for example, a cloud computing service. The centralized server 102 may communicate with other network entities, such as, for example, a mobile device 104 (such as a smartphone, a laptop, a tablet computer, etc.), other electronic devices 106 (such as desktop computers, server computers, etc.), databases 108 over a communication network 114, such as, but not limited to, the Internet. Further, users of the online platform 100 may include relevant parties such as, but not limited to, professionals, nominees, selectors, administrators, service providers, service consumers and so on. Accordingly, in some instances, electronic devices operated by the one or more relevant parties may be in communication with the platform 100. A user 116, such as the one or more relevant parties, may access online platform 100 through a web-based software application or browser. The web-based software application may be embodied as, for example, but not be limited to, a website, a web application, a desktop application, and a mobile application compatible with a computing device 1100.

According to some embodiments, the online platform 100 may be configured to facilitate selection of one or more working professionals for nominations, based on verifiably objective criteria.

Further, the online platform 100 may receive an input from one or more user devices. Further, the input may include name and details of the one or more working professionals for nomination for distinction. Further, the input for the nomination of the one or more working professionals may be received from one or more users of the online platform. In an instance, the one or more users may be part of a selection committee recognize one or more distinct working professionals corresponding to a profession. Further, the input for the nomination of the one or more working professionals may be received from one or more user devices corresponding to one or more peers, colleagues, co-workers and so on of a working professional. Further, the input for the nomination of the one or more working professionals may be received from a user device corresponding to a working professional. Further, the nomination may be received for the one or more working professionals such as lawyers, engineers, teachers, professors, judges, waiters, and so on. Further, the nomination of the one or more working professionals may include the input of related information such as the name of the working professional, practice area, working experience, website, address, social media contact, biographical information and so on.

Further, the online platform 100 may analyze the one or more nominated working professionals based on one or more factors. Further, the online platform 100 may evaluate the one or more nominated working professionals on indicators of professional achievements and peer recognition. The online platform 100 may analyze work, abilities and experience of the one or more working professionals based on various factors such as experience, honors/awards, case results, verdicts, settlements, special certificates, representative clients, professional activities, educational background, pro bono and community service, scholarly lectures/writings, and other outstanding achievements and so on.

Further, the online platform 100 may generate a score corresponding to every factor used for evaluation of the one or more working professionals, which may include the one or more indicators of professional achievements and peer recognition. Further, the scores of all the individual factors used for evaluation may be combined and an average may be calculated. Further, the calculated average may be treated as a final score of the one or more working professionals nominated for distinction.

Further, scoring may be performed based on factors used for evaluation of professional achievements and peer recognition such as experience, honors/awards, case results, verdicts, settlements, special certificates, representative clients, professional activities, educational background, pro bono and community service, scholarly lectures/writings, and other outstanding achievements and so on. Further, each factor used for the evaluation of professional achievements and peer recognition may be given a pre-decided scoring scale for grading the one or more working professionals nominated for distinction.

In an embodiment, an elaborate formula may be used for evaluation of professional achievements and peer recognition of the one or more nominated working professionals, such as lawyers, attorneys and so on. Further, the factors for evaluation of professional achievements and peer recognition may be divided into two groups such as Group A and Group B. For instance, if a nominated working professional is an attorney, Group A may include the factors used for evaluation, such as educational background, legal experience, AvvoTM reviews, GoogleTM reviews and so on. Further, the Group B may include factors for evaluation such as honors/awards, case results,

verdicts/settlements, special certifications, representative clients, professional activities, pro bono/community services, lectures/writings and so on. Further, a scoring scale may be defined for every factor used of evaluation of professional achievements and peer recognition, such as the educational background of the one or more working

professionals may be scaled based on a tier of the university /college graduated from. For instance, a tier 1 university/college may correspond to 5 points, a tier 2 university/college may correspond to 4 points, a tier 3 university /college may correspond to 3 points, a tier 4 university/college may correspond to 2 points, a tier 5 university/college may correspond to 1 point. In an instance, the one or more tiers may be determined based on one or more rankings of the university/college, such as those provided by one or more government agencies, magazines, publications, or popular vote.

Further, the work experience of the one or more working professionals nominated for distinction may be graded on basis of a scoring scale such as a work experience. For instance, a meaningful work experience of more than 20 years may correspond to 5 points, a work experience between 15 to 19 years may correspond to 4 points, a work experience between 11 to 14 years may correspond to 3 points, a work experience between 5 to 10 years may correspond to 2 points, a work experience less than 5 years may correspond to 1 point. Further, meaningful work experience may correspond work experience performed by the working professional in the particular field in which the working professional may have been nominated.

Further, the one or more reviews received by the one or more working professionals nominated for distinction on one or more external databases, such as AvvoTM reviews of the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on prior experiences of clients, reliability, performances and so on. Further, Google ® reviews of the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on prior experiences of clients, reliability, performances and so on. Further, the honors/awards awarded/received by the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on the number of awards awarded, honors received, recognition of the awards/ honors received, and so on. Further, the case results concluded, by the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on number of cases won, number of cases lost, duration of cases till concluded and so on. Further, additional achievements received by the one or more working professionals nominated for distinction may be evaluated and scored. For instance, if a working professional nominated for distinction is an attorney, a number of verdicts/settlements reached by the working professional nominated for distinction may be evaluated on a scoring scale of 1 to 5 points. Further, the special certifications received by the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on the number of special certifications received, recognition of the special certifications received, and so on.

Further, representative clients and customers of the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on the type of clients, the size of the client companies, the stature of the client and so on. Further, the professional activities of the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points. Further, pro bono/community services of the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on number of community services done, level of the community services, frequency of doing community services and so on. Further, one or more lectures/writings of the one or more working professionals nominated for distinction may be evaluated on a scoring scale of 1 to 5 points, based on the popularity of the writings/ lectures, number of writings/ lectures and so on.

Further, once the scoring and grading of the one or more factors used to evaluate the professional achievements and peer recognition is completed, an average score may be calculated corresponding to the one or more nominated working professionals for distinction. In an instance, the average score may be calculated by taking Group A scores of every factor used for evaluation and multiplying each score by two for each criterion in Group A. Further, the Group B scores may be kept as such. All the scores of all factors used for evaluation, both in Group A and Group B, may be added up. The sum of all the scores calculated, may be then divided by 2, resulting in a final score corresponding to one or more working professionals nominated for distinction.

Further, once a final score is generated, a background check and ethics reviewing corresponding to the one or more working professionals nominated for distinction may be carried out by online platform 100 to determine an ethical qualification of the one or more working professionals nominated for distinction. Further, to be determined as ethically qualified, the one or more working professionals nominated may need to not have any ethics violations during a particular duration, such as a time period of 10 years prior to the evaluation of the one or more working professionals nominated for distinction.

Further, after completion of the background checks and ethics reviewing of the one or more working professional nominated for distinction may be completed. Further, if everything may be found up to a predicted mark, and determined to be fulfilling a preset qualification, such as a minimum score, and without any violations, the one or more one or more working professionals nominated for distinction may be accepted for distinction. Further, in an embodiment, the online platform 100 may not confirm distinction of a certain percentage of one or more working professionals nominated for distinction in a particular profession. For instance, less than 10% of the working professionals of a particular field in a particular state may be accepted for distinction. In an instance, the online platform 100 may only grant distinction to 10% lawyers/ attorneys of a particular state.

Further, upon granting of distinction to the one or more working professionals, the online platform 100 may notify the one or more working professionals nominated for distinction if they are selected.

Further, the online platform 100 may provide advantages and benefits, to the one or more distinct working professionals. Further, the advantages and benefits may include a logo & trademark use of distinction, which may include use of lawyers of distinction logo and trademarked materials for member website and marketing. Further, the advantages and benefits may provide with valuable search engine optimization (SEO) tools, which may include linking of highly-optimized website link with one or more websites the one or more distinct working professionals, enhancing SEO. Further, the advantages and benefits may provide an access to a member directory, which may include a detailed profile page with a picture and link to the website of the distinct working professionals on the member directory that may have over 5000 views a day.

The one or more distinct working personal profile pages in the member directory may be built and optimized to be highly ranked while searched using one or more search engines. Further, the advantages and benefits may include a press release, which may include a national press release announcing the distinction of the one or more working professionals for immediate publication. Further, the advantages and benefits may enhance a social media reach of the one or more distinct working professionals by providing member announcements and a member’ s only private group access for real time exchange of information. Further, the advantages and benefits may include membership publications, which may include membership roster published in one or more journals, such as USA Today® and so on. Further, the advantages and benefits may include a member discount program, which may include annual member discounts at national vendors. Further, the advantages and benefits may include office brochures, which may include brochures with inserts for the one or more distinct working professional’s business card to display in a law firm.

FIG. 2 is a block diagram of a system 200 to facilitate selection of a professional based on objective criteria in accordance with some embodiments. Further, the system 200 may include a communication device 202 and a processing device 204. The professional may include one or more of as a lawyer, attorney, doctor, engineer, teacher, carpenter, plumber, etc.

The communication device 202 may be configured for receiving at least one nominee identifier from at least nominator device associated with at least one nominator. Further, the at least one nominee identifier may be associated with at least one nominee. Further, the at least one nominee may be a professional. Further, the at least one nominator may be a peer of the at least one nominee. Further, the at least one nominee identifier may include one or more of a name, a personal ID of the least one nominee. Further, the at least one nominee may be associated with at least one field, such as lawyer, engineer, doctor, etc. Further, the at least nominator device may be a one of the mobile device 104 and other electronic devices 106.

Further, the communication device 202 may be configured for transmitting, using the communication device, at least one score corresponding to the at least one nominee to at least one user device. The user device may be associated with a consumer of a service provided by the at least one nominee.

Further, the processing device 204 may be configured for receiving at least one nominee data associated with the at least one nominee based on the at least one nominee identifier. Further, the at least one nominee data may include one or more of educational background, legal experience, honors/awards, special certifications, representative clients, professional activities, pro bono/community work done, lectures/ writings, other achievements, client reviews corresponding to the at least one nominee. In some embodiments, the communication device 202 may be further configured for receiving the at least one nominee data associated with the at least one nominee from the at least one nominator device.

In some embodiments, the system 200 may include a storage device 302 (shown in FIG. 3) communicatively coupled to the processing device 204. Further, the storage device 302 may be configured for retrieving the at least one nominee data based on the at least one nominee identifier.

Further, the processing device 204 may be configured for analyzing the at least one nominee data based on at least one predetermined factor.

Further, the processing device 204 may be configured for generating the at least one score associated with the at least one nominee data based on the analyzing. This is explained in further detail in conjunction with FIGs. 8 and 9 below.

Further, at least one scale may be associated with the at least one predetermined factor. Further, the at least one scale may provide a measure of the at least one predetermined factor of the at least one nominee data. Further, the at least one score may correspond with the measure of the at least one predetermined factor.

In further embodiments, the processing device 204 may be further configured for evaluating the at least one nominee data based on a plurality of parameters. Further, the plurality of parameters associated with each predetermined factor of the at least one predetermined factor. Further, the processing device 204 may be configured for generating a plurality of sub-scores based on the evaluating. Further, the plurality of sub scores associated with the plurality of parameters, wherein the at least one score comprises the plurality of sub-scores.

Further, a plurality of scales may be associated with the plurality of parameters, wherein the plurality of scales may be configured to provide a measure of the plurality of parameters of the at least one nominee data. Further, the plurality of sub-scores may correspond to the measure of the plurality of parameters. The at least one predetermined factor, the plurality of parameters, the plurality of sub-scores, and the plurality of scales are explained in further detail in conjunction with FIGs. 8 and 9.

Further, the communication device 202 may be configured for transmitting the at least score to at least one nominee device associated with the at least one nominee.

In further embodiments, the communication device 202 may be configured for receiving the at least one nominee identifier and the at least one field from the at least one user device associated with at least one user. Further, the communication device 202 may be configured for transmitting the at least one nominee data and the at least one score to the at least one user device. Further, a storage device 302 may be communicatively coupled with the communication device 202, wherein the storage device 302 may be further configured for retrieving the at least one nominee data from a database (such as the database 108) based on the at least one nominee identifier and the at least one field.

In further embodiments, the communication device 202 may be configured for transmitting at least one request to the at least one institution device, wherein the at least one request comprises a request of association between the at least one nominee and at least one institution. Further, the at least one institution device may be associated with the at least one institution.

Further, the communication device 202 may be configured for receiving at least one consent from the at least one institution device. Further, the at least one consent may include an acceptance of the request of association.

In further embodiments, on receiving at least one consent from the institution, the institution may provide some benefits to the at least one nominee. For example, the benefits may include a press release, which may include a national press release announcing the distinction/selection of the at least one nominee for immediate publication.

Further, the storage device 302 may be configured for storing the at least one nominee identifier, the at least one nominee data, the at least one field, and the at least one score in a database.

FIG. 4 is a flowchart of a method 400 to facilitate selection of a professional based on objective criteria in accordance with some embodiments. At 402, the method may include receiving, using a communication device (such as the communication device 202), at least one nominee identifier from at least nominator device associated with at least one nominator. Further, the at least one nominee identifier may be associated with at least one nominee. Further, the at least one nominee may be associated with at least one field.

At 404, the method 400 may include receiving, using a processing device (such as the processing device 204), at least one nominee data associated with the at least one nominee based on the at least one nominee identifier.

In some embodiments, the method 400 may include receiving, using the communication device, the at least one nominee data associated with the at least one nominee from the at least one nominator device.

In some embodiments, the method 400 may include retrieving, using a storage device (such as the storage device 302) communicatively coupled to the processing device, the at least one nominee data based on the at least one nominee identifier.

At 406, the method 400 may include analyzing, using the processing device, the at least one nominee data based on at least one predetermined factor.

Further, at least one scale may be associated with the at least one predetermined factor, wherein the at least one scale may be configured to provide a measure of the at least one predetermined factor of the at least one nominee data. Further, the at least one score corresponds with the measure of the at least one predetermined factor.

At 408, the method 400 may include generating, using the processing device, at least one score associated with the at least one nominee data based on the analyzing.

At 410, the method 400 may include transmitting, using the communication device, the at least one score corresponding to the at least one nominee to at least one user device. Further, the method 400 may include transmitting, using the communication device, the at least score to at least one nominee device associated with the at least one nominee. Further, the method 400 may include storing, using the storage device, the at least one nominee identifier, the at least one nominee data, the at least one field, and the at least one score in a database, wherein the storage device may be communicatively coupled to the processing device. FIG. 5 is a flowchart of a method 500 to obtain sub-scores corresponding to parameters in accordance with some embodiments. At 502, the method 500 may include evaluating, using a processing device (such as the processing device 204), the at least one nominee data based on a plurality of parameters. Further, the plurality of parameters may be associated with each predetermined factor of the at least one predetermined factor. Further, at 504, the method 500 may include generating, using the processing device, a plurality of sub-scores based on the evaluating. Further, the plurality of sub-scores may be associated with the plurality of parameters. Further, the at least one score may include the plurality of sub-scores.

Further, a plurality of scales may be associated with the plurality of parameters, wherein the plurality of scales may provide a measure of the plurality of parameters of the at least one nominee data, wherein the plurality of sub-scores corresponds to the measure of the plurality of parameters. This is explained further in conjunction with FIGs. 8 and 9 below.

FIG. 6 is a flowchart of a method 600 to providing a score associated with a nominee with a user in accordance with some embodiments. At 602, the method 600 may include receiving, using a communication device (such as the communication device 202), the at least one nominee identifier and the at least one field from the at least one user device associated with at least one user.

Further, at 604, the method 600 may include retrieving, using a storage device, the at least one nominee data from a database based on the at least one nominee identifier and the at least one field.

Further, at 606, the method 600 may include transmitting, using the

communication device, the at least one nominee data and the at least one score to the at least one user device.

FIG. 7 is a flowchart of a method 700 to obtain consent from an institution in accordance with some embodiments. At 702, the method 700 may include transmitting, using a communication device (such as the communication device 202), at least one request to the at least one institution device. Further, the at least one request may include a request of association between the at least one nominee and at least one institution. Further, the at least one institution device may be associated with the at least one institution.

Further, at 704, the method 700 may include receiving, using the communication device, at least one consent from the at least one institution device. Further, the at least one consent may include an acceptance of the request of association.

FIG. 8 is a table 800 showing predetermined factors, parameters, scores, and sub scores in accordance with an exemplary embodiment. The table 800 includes details of a predetermined factor“Group A” under a column 802 of the table 800. The table 800 includes data for the lawyer field. The predetermined factor“Group A” may be associated with a plurality of parameters including“Educational Background”,“Legal Experience”,“Honors/ Awards”,“Case Results”,“Verdicts/Settlements”, and“Special Certifications”. Columns 804-814 (of the table 800) are associated with the plurality of parameters. The table 800 includes data for three nominees“Amy Simpson”,“Andrew Strauss” and“Charles Horsley”. Rows 816-820 (of the table 800) include data for the three nominees“Amy Simpson”,“Andrew Strauss” and“Charles Horsley” respectively. For each parameter in the plurality of parameters a sub-score may be assigned for each nominee in the three nominees. Further, a plurality of scales may be associated with the plurality of parameters. Further, for each parameter in the plurality of parameters a sub score may be assigned for each nominee in the three nominees based on a corresponding scale. For all the parameters in the plurality of parameters corresponding to the table 800, a scale of 1-5 may be used. For example, for the parameter“Legal Experience” following scale may be used: If a nominee has 20+ years’ experience, then“5” sub-score may be assigned to the nominee for the parameter“Legal Experience”, if a nominee has 15-19 years’ experience, then“4” sub-score may be assigned to the nominee for the parameter “Legal Experience”, if a nominee has 11-14 years’ experience, then“3” sub-score may be assigned to the nominee for the parameter“Legal Experience”, if a nominee has 5-10 years’ experience, then“2” sub-score may be assigned to the nominee for the parameter “Legal Experience” and if a nominee has under 5 years’ experience, then“1” sub-score may be assigned to the nominee for the parameter“Legal Experience”.

Accordingly, for the nominee "Amy Simpson”, a sub-score of“5” may be assigned to the parameter“Educational Background” as shown in the cell (column 804, row 816), a sub-score of“5” may be assigned to the parameter“Legal Experience” as shown in the cell (column 806, row 816), a sub-score of“4” may be assigned to the parameter“Honors/Awards” as shown in the cell (column 808, row 816), a sub-score of “4” may be assigned to the parameter“Case Results” as shown in the cell (column 810, row 816), a sub-score of“4” may be assigned to the parameter“Verdicts/Settlements” as shown in the cell (column 812, row 816), and a sub-score of“1” may be assigned to the parameter“Special Certifications” as shown in the cell (column 814, row 816).

Further, tor the nominee "Andrew Strauss”, a sub-score of“5” may be assigned to the parameter“Educational Background” as shown in the cell (column 804, row 818), a sub-score of“5” may be assigned to the parameter“Legal Experience” as shown in the cell (column 806, row 818), a sub-score of“3” may be assigned to the parameter “Honors/Awards” as shown in the cell (column 808, row 818), a sub-score of“4” may be assigned to the parameter“Case Results” as shown in the cell (column 810, row 818), a sub-score of“4” may be assigned to the parameter“Verdicts/Settlements” as shown in the cell (column 812, row 818), and a sub-score of“5” may be assigned to the parameter “Special Certifications” as shown in the cell (column 814, row 818).

For the nominee "Charles Horsley”, a sub-score of“1” may be assigned to the parameter“Educational Background” as shown in the cell (column 804, row 820), a sub score of“4” may be assigned to the parameter“Legal Experience” as shown in the cell (column 806, row 820), a sub-score of“2” may be assigned to the parameter

“Honors/Awards” as shown in the cell (column 808, row 820), a sub-score of“3” may be assigned to the parameter“Case Results” as shown in the cell (column 810, row 820), a sub-score of“3” may be assigned to the parameter“Verdicts/Settlements” as shown in the cell (column 812, row 820), and a sub-score of“1” may be assigned to the parameter “Special Certifications” as shown in the cell (column 814, row 820).

Further, at least one scale may be associated with the at least one predetermined factor, wherein the at least one scale may be configured to provide a measure of the at least one predetermined factor of the at least one nominee data, wherein the at least one score corresponds with the measure of the at least one predetermined factor. Accordingly, the predetermined factor“Group A” may be associated with a scale, such as a 1-5 scale. FIG. 9 is a table 900 showing predetermined factors, parameters, scores, and sub-scores in accordance with an exemplary embodiment. The table 900 includes details of a predetermined factor“Group B” under a column 902 of the table 900. The table 900 includes data for the lawyer field. The predetermined factor“Group B” may be associated with a plurality of parameters including“Representative Clients”,“Professional

Activities”,“Pro Bono/Community”,“Lectures/ Writings”,“Other Achievements”, and “AVVOTM/ GOOGLETM Reviews”. Columns 904-914 (of the table 900) are associated with the plurality of parameters. The table 900 includes data for three nominees“Amy Simpson”,“Andrew Strauss” and“Charles Horsley”. Rows 916-920 (of the table 900) include data for the three nominees“Amy Simpson”,“Andrew Strauss” and“Charles Horsley” respectively.

For each parameter in the plurality of parameters a sub-score may be assigned for each nominee in the three nominees. Further, a plurality of scales may be associated with the plurality of parameters. Further, for each parameter in the plurality of parameters a sub-score may be assigned for each nominee in the three nominees based on a corresponding scale. For example, the plurality of scales may include a scale of 1-5 for a first parameter. For all the parameters in the plurality of parameters corresponding to the table 900, a scale of 1-5 may be used. Accordingly, For the nominee "Amy Simpson”, a sub-score of“3” may be assigned to the parameter“Representative Clients” as shown in the cell (column 904, row 916), a sub-score of“3” may be assigned to the parameter “Professional Activities” as shown in the cell (column 906, row 916), a sub-score of“4” may be assigned to the parameter“Pro Bono/Community” as shown in the cell (column 908, row 916), a sub-score of“3” may be assigned to the parameter“Lectures/Writings” as shown in the cell (column 910, row 916), a sub-score of“4” may be assigned to the parameter“Other Achievements” as shown in the cell (column 912, row 916), a sub score of“3” may be assigned to the parameter“AwoTM/ GoogleTM Reviews” as shown in the cell (column 914, row 916).

Further, for the nominee "Andrew Strauss”, a sub-score of“4” may be assigned to the parameter“Representative Clients” as shown in the cell (column 904, row 918), a sub-score of“5” may be assigned to the parameter“Professional Activities” as shown in the cell (column 906, row 918), a sub-score of“3” may be assigned to the parameter“Pro Bono/Community” as shown in the cell (column 908, row 918), a sub-score of“3” may be assigned to the parameter“Lectures/Writings” as shown in the cell (column 910, row 918), a sub-score of“5” may be assigned to the parameter“Other Achievements” as shown in the cell (column 912, row 918), a sub-score of“5” may be assigned to the parameter“AvvoTM/ GoogleTM Reviews” as shown in the cell (column 914, row 918). Further, tor the nominee "Charles Horsley”, a sub-score of“3” may be assigned to the parameter“Representative Clients” as shown in the cell (column 904, row 920), a sub score of“3” may be assigned to the parameter“Professional Activities” as shown in the cell (column 906, row 920), a sub-score of“0” may be assigned to the parameter“Pro Bono/Community” as shown in the cell (column 908, row 920), a sub-score of“0” may be assigned to the parameter“Lectures/Writings” as shown in the cell (column 910, row 920), a sub-score of“N/A” may be assigned to the parameter“Other Achievements” as shown in the cell (column 912, row 920), a sub-score of“5” may be assigned to the parameter“AvvoTM/ GoogleTM Reviews” as shown in the cell (column 914, row 920).

Further, at least one scale may be associated with the at least one predetermined factor, wherein the at least one scale may be configured to provide a measure of the at least one predetermined factor of the at least one nominee data, wherein the at least one score corresponds with the measure of the at least one predetermined factor. Accordingly, the predetermined factor“Group B” may be associated with a scale, such as a 1-5 scale.

Thereafter, at least one score associated with the at least one nominee data may be generated based on the analyzing the data in the tables 800 and 900. For example, an average score may be calculated for each nominee for each predetermined factor.

Thereafter, a weighted average of the average scores may be calculated for each nominee for all the predetermined factors to obtain the at least one score associated with each nominee.

Accordingly, the average score for the nominee "Amy Simpson” for the predetermined factor“Group A” may be 3.83. Further, the average score for the nominee "Andrew Strauss” for the predetermined factor“Group A” may be 4.33. Further, the average score for the nominee "Charles Horsley” for the predetermined factor“Group A” may be 2.33. Similarly, the average score for the nominee "Amy Simpson” for the predetermined factor“Group B” may be 3.33. Further, the average score for the nominee "Andrew Strauss” for the predetermined factor“Group B” may be 4.16. Further, the average score for the nominee " Charles Horsley” for the predetermined factor“Group B” may be 2.33. Next, weighted average of the average scores may be calculated for each nominee for all the predetermined factors. In an instance, a weight of“2” may be assigned to the predetermined factor“Group A” and a weight of“1” may be assigned to the

predetermined factor“Group B”. Accordingly, the score for the nominee "Amy Simpson” will be 3.66, the score for the nominee "Andrew Strauss” will be 4.27 and the score for the nominee "Charles Horsley” will be 2.33.

FIG. 10 is a flow diagram of a method 1000 to facilitate selection of a

professional based on objective criteria in accordance with an exemplary embodiment. The method 1000 relates to selection of lawyers of distinction. At 1002, the method 1000 may include receiving nominations. At this step, the lawyers enter the candidate pool. Further, the lawyers may be nominated by peers by completion of an online application. Further, third party feedback may be received for the lawyers. Further, the method includes identifying Lawyers of Distinction by a selection committee.

At 1004, the method 1000 may include performing independent research. The research may include evaluation of lawyers on multiple indicators of professional achievement & peer recognition. The indicators include Experience, Honors/ A wards, Case Results, Verdicts/Settlements, Special Certifications, Representative Clients, Professional Activities, Educational Background, Pro Bono & Community Service, Scholarly Lectures/Writings, Other Outstanding Achievements. Further, no individual factor may be given undue weight as Lawyers of Distinction may seek diversity amongst its members.

At 1006, the method 1000 may include performing ethics review and background check. For example, the candidates must not have any ethics violations in the past 10 years. At 1008, the method 1000 may include performing final selection. Further, all attorneys who have met out standard may be then accepted for membership. Lawyer of distinction may not confirm membership to more than 10% of attorneys in any given state. The disclosed methods and systems provide a standard universal platform that may review and rates the one or more working professionals on various indicators of professional achievements and peer recognition.

With reference to FIG. 11, a system consistent with an embodiment of the disclosure may include a computing device or cloud service, such as computing device 1100. In a basic configuration, computing device 1100 may include at least one processing unit 1102 and a system memory 1104. Depending on the configuration and type of computing device, system memory 1104 may comprise, but is not limited to, volatile (e.g. random-access memory (RAM)), non-volatile (e.g. read-only memory (ROM)), flash memory, or any combination. System memory 1104 may include operating system 1105, one or more programming modules 1106, and may include a program data 1107. Operating system 1105, for example, may be suitable for controlling computing device 1100’s operation. In one embodiment, programming modules 1106 may include image-processing module, machine learning module. Furthermore, embodiments of the disclosure may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 11 by those components within a dashed line 1108.

Computing device 1100 may have additional features or functionality. For example, computing device 1100 may also include additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape. Such additional storage is illustrated in FIG. 11 by a removable storage 1109 and a non removable storage 1110. Computer storage media may include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. System memory 1104, removable storage 1109, and non removable storage 1110 are all computer storage media examples (i.e., memory storage.) Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD- ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 1100. Any such computer storage media may be part of device 1100. Computing device 1100 may also have input device(s) 1112 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, a location sensor, a camera, a biometric sensor, etc. Output device(s) 1114 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.

Computing device 1100 may also contain a communication connection 1116 that may allow device 1100 to communicate with other computing devices 1118, such as over a network in a distributed computing environment, for example, an intranet or the Internet. Communication connection 1116 is one example of communication media. Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media. The term“modulated data signal” may describe a signal that has one or more

characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media. The term computer readable media as used herein may include both storage media and communication media.

As stated above, a number of program modules and data files may be stored in system memory 1104, including operating system 1105. While executing on processing unit 1102, programming modules 1106 (e.g., application 1120 such as a media player) may perform processes including, for example, one or more stages of methods, algorithms, systems, applications, servers, databases as described above. The

aforementioned process is an example, and processing unit 1102 may perform other processes. Other programming modules that may be used in accordance with

embodiments of the present disclosure may include machine learning applications.

Generally, consistent with embodiments of the disclosure, program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types.

Moreover, embodiments of the disclosure may be practiced with other computer system configurations, including hand-held devices, general purpose graphics processor-based systems, multiprocessor systems, microprocessor-based or programmable consumer electronics, application specific integrated circuit -based electronics, minicomputers, mainframe computers, and the like. Embodiments of the disclosure may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Furthermore, embodiments of the disclosure may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors. Embodiments of the disclosure may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies. In addition, embodiments of the disclosure may be practiced within a general-purpose computer or in any other circuits or systems.

Embodiments of the disclosure, for example, may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media. The computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process. The computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process. Accordingly, the present disclosure may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.). In other words, embodiments of the present disclosure may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. A computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a random-access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM). Note that the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory. Embodiments of the present disclosure, for example, are described above with reference to block diagrams and/or operational illustrations of methods, systems, and computer program products according to embodiments of the disclosure. The functions/acts noted in the blocks may occur out of the order as shown in any flowchart. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the

functionality/acts involved.

While certain embodiments of the disclosure have been described, other embodiments may exist. Furthermore, although embodiments of the present disclosure have been described as being associated with data stored in memory and other storage mediums, data can also be stored on or read from other types of computer-readable media, such as secondary storage devices, like hard disks, solid state storage (e.g., USB drive), or a CD-ROM, a carrier wave from the Internet, or other forms of RAM or ROM. Further, the disclosed methods’ stages may be modified in any manner, including by reordering stages and/or inserting or deleting stages, without departing from the disclosure.

Although the present disclosure has been explained in relation to its preferred embodiment, it is to be understood that many other possible modifications and variations can be made without departing from the spirit and scope of the disclosure. Although the invention has been explained in relation to its preferred

embodiment, it is to be understood that many other possible modifications and variations can be made without departing from the spirit and scope of the invention as hereinafter claimed.