LU100717B1 - System and method for providing a plurality of service providers based on issues received from a user over network - Google Patents

Abstract

A system and method for providing a plurality of service providers based on the one or more issues received from a user. The method captures one or more issues through a computing device. The computing device captures the issues by recording a video, taking a picture, writing text, and/or voice recording. The captured issues are uploaded over the network. The issues are pertaining to household services, repairing services, construction services, automobile services, business services, renovation services etc. Then the method analyses the uploaded issues and categorizes the uploaded issues into a service category, and/or a plurality of service providers. Further, the method displays the plurality of service providers operating to provide a service related to the issues uploaded by the user. The plurality of service providers is displayed based on a geographical location of the user. Further, the service providers provide a bid offer and service availability schedule to provide the service. Then the user may select the service provider based on the preliminarily bid offer and the possible service availability schedule.

Description

SYSTEM AND METHOD FOR PROVIDING A PLURALITY OF SERVICEPROVIDERS BASED ON ISSUES RECEIVED FROM A USER OVER NETWORK

TECHNICAL FIELD

[0001] The present invention relates to an integrated platform for service providers and users,in particular to system and method to provide a plurality of service providers based on the oneor more issues received from a user over a network.

BACKGROUND

[0002] Background description includes information that may be useful in understanding thepresent invention. It is not an admission that any of the information provided herein is prior artor relevant to the presently claimed invention, or that any publication specifically orimplicitly referenced is prior art.

[0003] Enquiring from friends and colleagues, conducting internet searches, using listingservices such as the yellow pages are the current methods commonly used by consumers tosearch for service providers. These methods are prone to exerted efforts by the consumer, createlittle in promoting a competitive pricing environment and often offer the consumer a trial anderror service expectation outcome. Consumers spend a lot of time and effort enquiring for thebest price offers from multiple service providers. As a result, service providers spend a greatdeal of time and money commuting to the consumers premises to conduct an evaluation of theproblem or service requested. When consumers do find a service provider to fulfil their servicerequest, it is a common occurrence that the consumers will take a day or a few hours off workto wait for the service provider to come to their premises to conduct an evaluation of the servicerequest. The problem is further exacerbated when the consumer seeking service requests theservice provider to make a price offer. This back and forth service enquiry and service deliveryprocess between the consumer and service provider is extremely inefficient, results in anincrease of service delivery costs and is detrimental to the environment as result of high carbonemissions generated from the vehicles used in the service delivery process. The environmentalimpact that results from the multiple vehicle journeys that service providers have to make toprovide service to a consumer are substantial and do not aid in the global pledged efforts toreduce greenhouse gas emissions in accordance to targets set by international environment protection agencies.

[0004] Further, the users who need the services of professional service providers facechallenges to find suitable service providers who are most qualified to perform the work and iswilling to perform it at competitive charges within an agreed period of time. For example, auser who needs the service of an electrician must actively seek out expertise and informationregarding their professional certifications, experience, ability to provide the specific serviceswhich are required and the charges they will charge to perform the services. Another exampleis consumers who are in the need of device repair, home renovation, ironing or other services.

[0005] In view of the increasing on-demand services and growth of the gig economy, there isa dire need for a system and method for automatically capturing the issues using a mobilecomputing device which can be further automatically matched with a suitable service providerwho can resolve/offer service of the captured issue effectively. Further, there is also a needfor a system and method to automatically identify one or more items and suggest or matchthe user to the most suitable or preferred service providers and suppliers who may resolvethe related issues or supply the requested product. In addition, the system can also learn fromprevious service requests and automatically suggest or choose a suitable service provider orsupplier who successfully provided the service or product.

[0006] All publications herein are incorporated by reference to the same extent as if eachindividual publication or patent application were specifically and individually indicated to beincorporated by reference. Where a definition or use of a term in an incorporated reference isinconsistent or contrary to the definition of that term provided herein, the definition of thatterm provided herein applies and the definition of that term in the reference does not apply.

[0007] In some embodiments, the numbers expressing quantities or dimensions of items,and so forth, used to describe and claim certain embodiments of the invention are to beunderstood as being modified in some instances by the term “about.” Accordingly, in someembodiments, the numerical parameters set forth in the written description and attached claimsare approximations that can vary depending upon the desired properties sought to be obtainedby a particular embodiment. In some embodiments, the numerical parameters should beconstrued in light of the number of reported significant digits and by applying ordinaryrounding techniques. Notwithstanding that the numerical ranges and parameters setting forththe broad scope of some embodiments of the invention are approximations, the numerical values set forth in the specific examples are reported as precisely as practicable. The numericalvalues presented in some embodiments of the invention may contain certain errors necessarilyresulting from the standard deviation found in their respective testing measurements.

[0008] As used in the description herein and throughout the claims that follow, the meaningof “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise.Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless thecontext clearly dictates otherwise. The recitation of ranges of values herein is merely intendedto serve as a shorthand method of referring individually to each separate value falling withinthe range. Unless otherwise indicated herein, each individual value is incorporated into thespecification as if it were individually recited herein. All methods described herein can beperformed in any suitable order unless otherwise indicated herein or otherwise clearlycontradicted by context.

[0009] The use of any and all examples, or exemplary language (e.g. “such as”) providedwith respect to certain embodiments herein is intended merely to better illuminate the inventionand does not pose a limitation on the scope of the invention otherwise claimed. No languagein the specification should be construed as indicating any non-claimed element essentialto the practice of the invention.

[0010] Groupings of alternative elements or embodiments of the invention disclosed hereinare not to be construed as limitations. Each group member can be referred to and claimedindividually or in any combination with other members of the group or other elements foundherein. One or more members of a group can be included in, or deleted from, a group forreasons of convenience and/or patentability.

DISCUSSION OF RELATED ART

[0011] A method for routing customer orders, received over the internet, to a service providersuch as a print service provider selected from a plurality of competing print service providers,comprises an electronic interface configured to receive and acknowledge customer orders; firstprocessing means configured to compare the requirements of a received order with pre-storedinformation specific to each of the competing service providers; responsive means configuredto establish a list of the service providers determined to be able to fulfil requirements of thereceived order; and processing means configurable, for a received order, to make the selectionfrom the list and to route the received order to the selected service provider, as disclosedin US patent number 7225220 B2 of Manuel Gonzalez, which is incorporated herein byreference. Further, a method and apparatus are for matching ready-to- act consumers and pre-qualified service providers, as disclosed in US patent number 7096193 Bl of Michael J.Beaudoin, which is incorporated herein by reference. Furthermore, a method and system forevaluating, analysing, assimilating and collating preferred automobile service stations, servicegarages and automobile repair shops based on the total cost of service, user ranking, userfeedback, earliest available appointment and distance of these vehicle service stations fromthe user location through a designated website accessible by a user via a communicationnetwork such as the internet, as disclosed in US patent application number 2009/0254454Al of Mohit Gupta, which is incorporated herein by reference. WO 2017/004386 Al relates toautomated event management system for smart appliances residing at locations of owners andcommunicatively connected to respective smart-appliance event-reporting; platforms include aservice response platform and an enterprise resource platform. US 2017/039636 Al relates toprocuring urgent household-related goods or services enabling consumers to obtain goods orservices from local vendors offering those goods or services within a predetermined region. US2016/275458 Al relates to a method for providing dynamic scheduling services without sharingcalendars content.

[0012] However, the patents and patent applications mentioned above do not explicitly discussthe application of machine learning to process the captured video file, photo, text, voice or acombination of all 4 formats to identify the issue and accordingly provide a list of serviceproviders. Additionally, the existing arts are not using artificial intelligence to understand thepreviously captured/recorded issues and further use that knowledge to efficiently process futuresimilar requests to resolve the similar issues. Further, the patent literature mentioned above also do not talk about a software application that can automatically detect/identify the targetdevice or equipment and the corresponding issues. Further, the patent literature mentioned donot talk about using an on-demand cloud-based platform provided by commercialorganizations. The present invention enables the user to automatically upload the recorded ordocumented videos, captured photos, voice recording, and texts to a plurality of cloud-basedplatforms. Examples of the cloud-based platforms including but not limited to Amazon™ WebServices (AWS), Google™ Cloud Platform (GCP), HP™ Cloud, IBM™, Microsoft Azure™,Oracle™, Red Hat™, Salesforce™, VMware ™ and etc. Typically, cloud-based platformsallow the developers to seamlessly deploy the software applications in the cloud, or useservices provided from the cloud, or both. The cloud-based platform provided by the presentinvention is accessible to the service providers and the product suppliers. Further, thecloud-based platform provided by the present invention enables the service providers toview and analyze the problem and provide price quotations and availability schedules tothe user. Additionally, the present invention enables a user to capture the issues in a live videoformat and process the captured issues by using automatic image recognition and machinelearning technology.

SUMMARY

[0013] The present invention mainly solves the technical problems existing in the prior art. Inresponse to these problems, the present invention provides a system and method that providesa plurality of service providers based on the one or more issues received from a user.

[0014] An aspect of the present disclosure relates to a device in a network. The device includesa non-transitory storage device having embodied therein one or more routines operable toprovide a plurality of service providers based on the one or more issues received from a user.Examples of the user may include but are not limited to, end user, client, customer, and theconsumer who use the present system as a software application to record or document theproblems that they are experiencing in the day to day life or services that they may require.

[0015] The one or more routines include a computing mobile device, an upload module, ananalysis module, a display module, a selection module, a detection module, a first identificationmodule, a second identification module, and a determination module. The computing mobiledevice is configured to capture one or more issues. The computing mobile device captures the issues by recording a video, taking a picture, writing text, recording speech, automaticimage/object recognition or a combination thereof. The one or more issues are pertainingto at least one of a household service, a repairing service, a construction service, an automobileservice, a business service, a renovation service and/or a combination thereof. Examples ofthe computing mobile device may include but are not limited to, a portable device, a wearabledevice such as tablet computers, mobile phones, smart eyeglasses, personal digital assistant,augmented reality headsets etc. In an aspect, the computing mobile device includes an on-boardprocessing unit, RAM, and storage unit. Further, the computing mobile device includes acamera, microphone, speaker, a plurality of sensors, an OS function, memory, input/outputinterface etc.

[0016] The upload module is configured to upload the captured issues over the network. The oneor more issues are pertaining to at least one of a household service, a repairing service, aconstruction service, an automobile service, a business service, a renovation service and/or acombination thereof. The analysis module is configured to analyze the uploaded issues andfurther categorize the uploaded issues into a service category, a plurality of service providersand/or a combination thereof. Examples of the service providers may include but are not limitedto, an individual, a shopkeeper, a professional, a product supplier, artist, plumber, mechanic,an interior designer etc., who may receive the recorded or documented problems faced by theuser over the present system via cloud-based platforms and further resolve thoseissues/problems.

[0017] The display module is configured to display the plurality of service providers operatingto provide a service related to the issues uploaded by the user. The plurality of service providersare displayed based on a geographical location of the user, further, the service providersprovide a preliminarily bid offer and possible service availability schedules to provide theservice.

[0018] The selection module is configured to select the service provider based on thepreliminarily bid offer and the possible service availability schedule. The detection module isconfigured to automatically detect one or more items on receiving a pointing gesture from theuser through the computing device. The one or more items are selected from at least one ofelectrical-electronic units, furniture, building infrastructure and/or a combination thereof. The first identification module is configured to identify patterns of issues with a common categoryor a similar characteristic to accurately display a plurality of service providers on identifyingthe similar issues in future. The second identification module is configured to identify aplurality of models of the one or more detected items and consequently display a plurality ofservice providers operating to offer repair or maintenance services of the identified model ofthe items. The third identification module is configured to identify a plurality of device modelsof the one or more detected items and consequently display a plurality of suppliers to offer anew or upgrade of the identified device model of the items. The determination module isconfigured to determine the suppliers and service providers frequently preferred by the userand display the plurality of preferred service providers.

[0019] Accordingly, one advantage of the present invention is that it utilizes machine learningand artificial intelligence to understand previously captured issues and problems and using thatknowledge to efficiently process future similar requests.

[0020] Accordingly, one advantage of the present invention is that it enables the user tocapture the issues by recording a video, taking a picture, writing text, recording speech,automatic image/object recognition or a combination thereof. The default means to capture theissue is by recording the video of the issue.

[0021] Another advantage of the present invention is that it processes the captured videoto automatically match the user to service providers, product suppliers and the servicecategories. The processing of automatically matching the user to service providers, productsuppliers and service categories is processed using the computing mobile device internalprocessing capabilities and an on-demand cloud computing platform.

[0022] Another advantage of the present invention is that it enables a user to capture theissues in a live video format and process the captured issues by using automatic imagerecognition and machine learning technology.

[0023] To undertake the intensive data prepossessing, long-term storage, archival and in-depthprocessing, another advantage of the present invention is that it can leverage on- demandcloud platforms offered by commercial organisations including, but not limited to Amazon

Web Services developed by Amazon, Google Cloud Platform developed by Google, MicrosoftAzure developed by Microsoft, IBM Watson developed by IBM. The system is cable ofaccessing the on-demand cloud computing services offered by various service providers viaquery and federation layers. The system can leverage from on-demand cloud platformsservices such as processing of queries, analysis of tasks, deciding which on-demand platformis best placed to hold the needed data and negotiate participation to acquire the data. Inaddition, real-time or context-aware queries are handled through the federation layer via asources layer that seamlessly handles the discovery and engagement of data sources. Thisframework allows a two-way publishing and querying of data. This allows the system respondto the immediate data and processing requests of the end users and provides archivalcapabilities for later long-term analysis and exploration of value-added trends such as machinelearning and artificial intelligence.

[0024] To overcome the common challenges of managing fluctuating network bandwidthdemands and performance, another advantage of the system is the capability of conductingbasic querying and preliminary data processing, short-term storage using the computingmobile device built-in processing module. In addition, the system cable of applying aggregationand fusion techniques which deploy summarization and merging operations in real-time tocompress the volume of data to be stored and transmitted to the on-demand cloud computingplatform. This reduces the data streaming rates and bottlenecks caused as result of limitedbandwidth. To report (and access) data to on-demand on-demand cloud platforms, the systemcan use either a session based synchronisation system or a publisher/subscriber-based system.By using a session-based synchronisation system, data exchange, and store-and- forwardmechanisms facilitate the synchronisation of captured data with the on-demand cloud platform.By using the publisher/subscriber system captured data from computing mobile device isdelivered to the on-demand cloud platform using notification delivery methods when there isintermittent network connectivity.

[0025] To avoid or minimise the system from being used to capture inappropriate video,text, voice or images from users who wish to use the system for nefarious purposes, the presentinvention can detect and automatically flag inappropriate video, text, voice, and images forfurther scrutiny by the system support team. Using machine learning and artificial intelligence,the system automatically detects and prevents future uploads of similar inappropriate contentfrom being processed by the system. An example of an inappropriate content includes but not limited to content would be of a user recording private parts of their or other person’sbody.

[0026] An aspect of the present disclosure relates to a system to provide a plurality of serviceproviders based on the one or more issues received from a user. The system includes a processorand a memory. The memory stores machine-readable instructions that when executed by theprocessor cause the processor to capture the one or more issues through a computing device.In an aspect, the computing device captures the issues by at least one of recording a video,taking a picture, writing text, voice recording, and/or a combination thereof.

[0027] The processor is then configured to upload the captured issues over the network. In anaspect, the one or more issues are pertaining to at least one of a household service, a repairingservice, a construction service, an automobile service, a business service, a renovation serviceand/or a combination thereof. The processor is configured to analyze the uploaded issuesand further categorize the uploaded issues into a service category, a plurality of serviceproviders and/or a combination thereof; [0028] Further, the processor is configured to display the plurality of service providersoperating to provide a service related to the issues uploaded by the user. In an aspect, theplurality of service providers are displayed based on a geographical location of the user, further,the service providers provide a bid offer and service availability schedule to provide the service.The processor is configured to select the service provider based on the preliminarily bid offerand the possible service availability schedule.

[0029] The processor is further configured to detect one or more items on receiving a pointinggesture from the user through the computing device. In an aspect, the one or more items areselected from at least one of electrical-electronic units, furniture, building infrastructureand/or a combination thereof.

[0030] The processor is further configured to identify patterns of issues with a common categoryor a similar characteristic to accurately display a plurality of service providers on identifying thesimilar issues in future. The processor is further configured to identify a plurality of models ofthe one or more detected items and consequently display a plurality of service providers operating to offer repair or maintenance services of the identified model of the items. Theprocessor is further configured to determine the service providers frequently preferred by theuser and display the plurality of preferred service providers.

[0031] An aspect of the present disclosure relates to a method for providing a plurality ofservice providers based on the one or more issues received from a user. The method includes thestep of capturing data related to one or more issues through a computing device. Thecomputing device captures the issues by at least one of recording a video, taking a picture,writing text, voice recording, and/or a combination thereof. Then the method includes the stepof uploading, by one or more processors, the captured issues over the network. The one or moreissues are pertaining to at least one of a household service, a repairing service, a constructionservice, an automobile service, a business service, a renovation service and/or a combinationthereof.

[0032] The method then includes the step of analyzing, by one or more processors, the uploadedissues and further categorize the uploaded issues into a service category, a plurality of serviceproviders and/or a combination thereof. Further, the method includes the step of displaying,by one or more processors, the plurality of service providers operating to provide a servicerelated to the issues uploaded by the user. The plurality of service providers are displayedbased on a geographical location of the user, further, the service providers offer apreliminarily bid offer and service availability schedule to provide the service. The methodincludes the step of selecting, by one or more processors, the service provider based on thepreliminarily bid offer and the possible service availability schedule.

[0033] The method further comprises the step of detecting, by one or more processors, one ormore items on receiving a pointing gesture from the user through the computing device. Theone or more items are selected from at least one of electrical-electronic units, furniture,building infrastructure and/or a combination thereof.

[0034] The method then comprises the step of identifying, by one or more processors, patternsof issues with a common category or a similar characteristic to accurately display a pluralityof service providers on identifying the similar issues in future. The method further comprisesthe step of identifying, by one or more processors, a plurality of models of the one or more detected items and consequently display a plurality of service providers operating to offerrepair or maintenance services of the identified model of the items. The method furthercomprises the step of determining, by one or more processors, the service providers frequentlypreferred by the user and display the plurality of preferred service providers.

[0035] Other features of embodiments of the present disclosure will be apparent fromaccompanying drawings and from the detailed description that follows.

BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In the figures, similar components and/or features may have the same reference label.Further, various components of the same type may be distinguished by following thereference label with a second label that distinguishes among the similar components. If onlythe first reference label is used in the specification, the description is applicable to any one ofthe similar components having the same first reference label irrespective of the secondreference label.

[0037] FIG. 1 illustrates a network implementation of the present system and method toprovide a plurality of service providers based on the one or more issues received from a user,in accordance with an embodiment of the present subject matter.

[0038] FIG. 2 illustrates the proposed system to provide a plurality of service providers basedon the one or more issues received from a user over a network, in accordance with anembodiment of the present subject matter.

[0039] FIG. 3 illustrates a flowchart of the method for providing a plurality of serviceproviders based on the one or more issues received from a user over a network, in accordancewith at least one embodiment.

[0040] FIG. 4 illustrates an exemplary operational block diagram of the present system andmethod, in accordance with at least one embodiment.

[0041] FIG. 5 is a flow diagram of a detailed exemplary process for processing videos throughcontent recognition and to build usable datasets using on demand cloud tools and services, inaccordance with at least one embodiment.

[0042] FIG. 6 is another flow diagram that illustrates the different states of the step function,in accordance with at least one embodiment.

DETAILED DESCRIPTION

[0043] Systems and methods are disclosed for providing a plurality of service providers basedon the one or more issues received from a user over a network. Embodiments of the presentdisclosure include various steps, which will be described below. The steps may be performedby hardware components or may be embodied in machine-executable instructions, which maybe used to cause a general-purpose or special-purpose processor programmed with theinstructions to perform the steps. Alternatively, steps may be performed by a combination ofhardware, software, firmware, and/or by human operators.

[0044] Embodiments of the present disclosure may be provided as a computer programproduct, which may include a machine-readable storage medium tangibly embodying thereoninstructions, which may be used to program a computer (or other electronic devices) to performa process. The machine-readable medium may include, but is not limited to, fixed (hard) drives,magnetic tape, floppy diskettes, optical disks, compact disc read-only memories (CD-ROMs),and magneto-optical disks, semiconductor memories, such as ROMs, PROMs, random accessmemories (RAMs), programmable read-only memories (PROMs), erasable PROMs(EPROMs), electrically erasable PROMs (EEPROMs), flash memory, magnetic or opticalcards, or other type of media/machine-readable medium suitable for storing electronicinstructions (e.g., computer programming code, such as software or firmware).

[0045] Various methods described herein may be practiced by combining one or moremachine-readable storage media containing the code according to the present disclosure withappropriate standard computer hardware to execute the code contained therein. An apparatusfor practicing various embodiments of the present disclosure may involve one or morecomputers (or one or more processors within a single computer) and storage systems containingor having network access to computer program(s) coded in accordance with various methodsdescribed herein, and the method steps of the disclosure could be accomplished by modules,routines, subroutines, or subparts of a computer program product. If the specification states acomponent or feature “may”, “can”, “could”, or “might” be included or have acharacteristic, that particular component or feature is not required to be included or havethe characteristic.

[0046] Although the present disclosure has been described with the purpose of providing aplurality of service providers based on the one or more issues received from a user over anetwork, it should be appreciated that the same has been done merely to illustrate the inventionin an exemplary manner and any other purpose or function for which explained structures orconfigurations can be used, is covered within the scope of the present disclosure. Exemplaryembodiments will now be described more fully hereinafter with reference to theaccompanying drawings, in which exemplary embodiments are shown. This invention may,however, be embodied in many different forms and should not be construed as limited to theembodiments set forth herein. These embodiments are provided so that this disclosure willbe thorough and complete and will fully convey the scope of the invention to those of ordinaryskill in the art. Moreover, all statements herein reciting embodiments of the invention, as wellas specific examples thereof, are intended to encompass both structural and functionalequivalents thereof. Additionally, it is intended that such equivalents include both currentlyknown equivalents as well as equivalents developed in the future (i.e., any elements developedthat perform the same function, regardless of structure).

[0047] Thus, for example, it will be appreciated by those of ordinary skill in the art that thediagrams, schematics, illustrations, and the like represent conceptual views or processesillustrating systems and methods embodying this invention. The functions of the variouselements shown in the figures may be provided through the use of dedicated hardware as wellas hardware capable of executing associated software. Similarly, any switches shown in thefigures are conceptual only. Their function may be carried out through the operation of programlogic, through dedicated logic, through the interaction of program control and dedicated logic,or even manually, the particular technique being selectable by the entity implementing thisinvention. Those of ordinary skill in the art further understand that the exemplary hardware,software, processes, methods, and/or operating systems described herein are for illustrativepurposes and, thus, are not intended to be limited to any particular name.

[0048] The ensuing description provides exemplary embodiments only and is not intended tolimit the scope, applicability, or configuration of the disclosure. Rather, the ensuing descriptionof the exemplary embodiments will provide those skilled in the art with an enabling descriptionfor implementing an exemplary embodiment. It should be understood that various changes maybe made in the function and arrangement of elements without departing from the spirit andscope of the invention as set forth in the appended claims.

[0049] Specific details are given in the following description to provide a thoroughunderstanding of the embodiments. However, it will be understood by one of ordinary skill inthe art that the embodiments may be practiced without these specific details. For example,circuits, systems, networks, processes, and other components may be shown as components inblock diagram form in order not to obscure the embodiments in unnecessary detail. In otherinstances, well-known circuits, processes, algorithms, structures, and techniques maybe shownwithout unnecessary detail in order to avoid obscuring the embodiments.

[0050] The term “machine-readable storage medium” or “computer-readable storagemedium” includes, but is not limited to, portable or non-portable storage devices, opticalstorage devices, and various other mediums capable of storing, containing, or carryinginstruction(s) and/or data. A machine-readable medium may include a non-transitory mediumin which data can be stored and that does not include carrier waves and/or transitory electronicsignals propagating wirelessly or over wired connections. Examples of a non-transitorymedium may include but are not limited to, a magnetic disk or tape, optical storage media suchas compact disk (CD) or digital versatile disk (DVD), flash memory, memory or memorydevices.

[0051] A computer program product may include code and/or machine-executable instructionsthat may represent a procedure, a function, a subprogram, a program, a routine, a subroutine,a module, a software package, a class, or any combination of instructions, data structures,or program statements. A code segment may be coupled to another code segment or a hardwarecircuit by passing and/or receiving information, data, arguments, parameters, or memorycontents. Information, arguments, parameters, data, etc. may be passed, forwarded, ortransmitted via any suitable means including memory sharing, message passing, token passing,network transmission, etc.

[0052] Furthermore, embodiments may be implemented by hardware, software, firmware,middleware, microcode, hardware description languages, or any combination thereof. Whenimplemented in software, firmware, middleware or microcode, the program code or codesegments to perform the necessary tasks (e.g., a computer program product) may be stored in amachine-readable medium. A processor(s) may perform the necessary tasks.

[0053] FIG. 1 illustrates a network implementation 100 of the present system and method toprovide a plurality of service providers based on the one or more issues received from a user, inaccordance with an embodiment of the present subject matter. Although the present subjectmatter is explained considering that the present system 102 is implemented on a server, it maybe understood that the present system 102 may also be implemented in a variety of computingsystems, such as a laptop computer, a desktop computer, a notebook, a workstation, amainframe computer, a server, a network server, and the like. It will be understood that thepresent system 102 may be accessed by multiple users through one or more computing devices104-1, 104-2...104-N, collectively referred to as computing device 104 hereinafter, orapplications residing on the computer devices 104. Examples of the computing devices 104may include but are not limited to, a portable computer, a personal digital assistant, a handhelddevice, and a workstation. The computing devices 104 are communicatively coupled to thepresent system 102 through a network 106 and utilizes the various operating system to performthe functions of the present system 102 such Android, IOS, Windows etc.

[0054] In one implementation, the network 106 may be a wireless network, a wired networkor a combination thereof. The network 106 can be implemented as one of the different types ofnetworks, such as an intranet, local area network (LAN), wide area network (WAN), theinternet, and the like. The network 106 may either be a dedicated network or a sharednetwork. The shared network represents an association of the different types of networks thatuse a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), TransmissionControl Protocol/Intemet Protocol (TCP/IP), Wireless Application Protocol (WAP), and thelike, to communicate with one another. Further, the network 106 may include a variety ofnetwork devices, including routers, bridges, servers, computing devices, storage devices, andthe like.

[0055] FIG. 2 illustrates the proposed system 102 to provide a plurality of serviceproviders based on the one or more issues received from a user, in accordance with anembodiment of the present subject matter. Referring now to FIG. 2, the system 102 is illustratedin accordance with an embodiment of the present subject matter. In one embodiment, thesystem 102 may include at least one processor 202, an input/output (VO) interface 204, and amemory 206. The processor 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, statemachines, logic circuitries, and/or any devices that manipulate signals based on operationalinstructions. Among other capabilities, the at least one processor 202 is configured to fetch andexecute computer-readable instructions stored in the memory 206.

[0056] The I/O interface 204 may include a variety of software and hardware interfaces, forexample, a web interface, a graphical user interface, and the like. The I/O interface 204 mayallow the system 102 to interact with a user directly or through the computing devices 104.Further, the VO interface 204 may enable the system 102 to communicate with other computingdevices, such as web servers and external data servers (not shown). The I/O interface 204 canfacilitate multiple communications within a wide variety of networks and protocol types,including wired networks, for example, LAN, cable, etc., and wireless networks, such asWLAN, cellular, or satellite. The VO interface 204 may include one or more ports forconnecting a number of devices to one another or to another server.

[0057] The memory 206 may include any computer-readable medium known in the artincluding, for example, volatile memory, such as static random access memory (SRAM) anddynamic random access memory (DRAM), and/or non-volatile memory, such as read-onlymemory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, andmagnetic tapes. The memory 206 may include modules 208 and data 210.

[0058] The modules 208 include routines, programs, objects, components, data structures,etc., which perform particular tasks or implement particular abstract data types. In oneimplementation, the modules 208 may include a computing mobile device 211, an uploadmodule 212, an analysis module 213, adisplay module 214, a selection module 216, a detectionmodule 217, a first identification module 218, a second identification module 219, a thirdidentification module 215, a determination module 220 and other modules 222. The othermodules 222 may include programs or coded instructions that supplement applications andfunctions of the system 102.

[0059] The data 210, amongst other things, serves as a repository for storing dataprocessed, received, and generated by one or more of the modules 208. The data 210 may alsoinclude a capture data 223, an upload data 224, an analysis data 225, a display data 226, a selection data 228, a detection data 229, a first identification data 230, a second identificationdata 231, a determination data 232 and other data 234. The other data 234 may include datagenerated as a result of the execution of one or more modules in the other module 222.

[0060] In one implementation, the computing mobile device 211 is configured to capturethe one or more issues. The computing mobile device 211 captures the issues by recordingvideo, capturing a photo, receiving text, recording voice or a combination of all 4 formats toidentify the issue and accordingly provide a list of service providers. The upload module 212is configured to upload the captured issues over the network 106. The one or more issues arepertaining to at least one of a household service, a repairing service, a construction service, anautomobile service, a business service, a renovation service and/or a combination thereof.

[0061] The analysis module 213 is configured to analyze the uploaded issues and furthercategorize the uploaded issues into a service category, a plurality of service providers and/ora combination thereof. The display module 214 is configured to display the plurality of serviceproviders operating to provide a service related to the issues uploaded by the user. The pluralityof service providers are displayed based on a geographical location of the user, further, theservice providers provide a bid offer and service availability schedule to provide the service. Theselection module 216 is configured to select the service provider based on the preliminarily bidoffer and the possible service availability schedule.

[0062] The detection module 217 is configured to detect one or more items on receiving apointing gesture from the user through the computing device 104. The one or more items areselected from at least one of electrical-electronic units, furniture, building infrastructure and/ora combination thereof. The first identification module 218 is configured to identify patterns ofissues with a common category or a similar characteristic to accurately display a plurality ofservice providers on identifying the similar issues in future.

[0063] The second identification module 219 is configured to identify a plurality of modelsof the one or more detected items and consequently display a plurality of service providersoperating to offer repair or maintenance services of the identified model of the items. The thirdidentification module 215 is configured to identify a plurality of device models of the one or more detected items and consequently display a plurality of suppliers to offer a new or upgradeof the identified device model of the items. The determination module 220 is configuredto determine the service providers and suppliers frequently preferred by the user and displaythe plurality of preferred service providers.

[0064] As used herein, and unless the context dictates otherwise, the term “configured to” or“coupled to” is intended to include both direct coupling (in which two elements that are coupledto each other contact each other) and indirect coupling (in which at least one additional elementis located between the two elements). Therefore, the terms “configured to”, “configuredwith”, “coupled to” and “coupled with” are used synonymously. Within the context ofthis document terms “configured to”, “coupled to” and “coupled with” are also usedeuphemistically to mean “communicatively coupled with” over a network, where two or moredevices are able to exchange data with each other over the network, possibly via one or moreintermediary device.

[0065] It should be apparent to those skilled in the art that many more modifications besidesthose already described are possible without departing from the inventive concepts herein.The inventive subject matter, therefore, is not to be restricted except in the spirit of theappended claims. Moreover, in interpreting both the specification and the claims, all termsshould be interpreted in the broadest possible manner consistent with the context. In particular,the terms “comprises” and “comprising” should be interpreted as referring to elements,components, or steps in a non-exclusive manner, indicating that the referenced elements,components, or steps may be present, or utilized, or combined with other elements,components, or steps that are not expressly referenced.

[0066] FIG. 3 illustrates a flowchart 300 of the method for providing a plurality of serviceproviders based on the one or more issues received from a user, in accordance with at leastone embodiment. The method initiates with the step 302 of capturing, by one or moreprocessors, the one or more issues through a computing device 104. The computing device 104captures the issues by at least one of recording a video, taking a picture, writing text, voicerecording, and/or a combination thereof. Then the method includes the step 304 of uploading,by one or more processors, the captured issues over the network. The one or more issues arepertaining to at least one of a household service, a repairing service, a construction service, an automobile service, a business service, a renovation service and/or a combination thereof.

[0067] The method then includes the step 306 of analyzing, by one or more processors, theuploaded issues and further categorize the uploaded issues into a service category, aplurality of service providers and/or a combination thereof. Further, the method includes thestep 308 of displaying, by one or more processors, the plurality of service providers operatingto provide a service related to the issues uploaded by the user. The plurality of service providersare displayed based on a geographical location of the user, further, the service providersprovide a bid offer and service availability schedule to provide the service.

[0068] The method includes the step 310 of selecting, by one or more processors, the serviceprovider based on the preliminarily bid offer and the service availability schedule. The methodfurther comprises the step 312 of detecting, by one or more processors, one or more items onreceiving a pointing gesture from the user through the computing device. The one or moreitems are selected from at least one of electrical-electronic units, furniture, buildinginfrastructure and/or a combination thereof.

[0069] The method then comprises the step 314 of identifying, by one or more processors,patterns of issues with a common category or a similar characteristic to accurately display aplurality of service providers on identifying the similar issues in future. The method furthercomprises the step 316 of identifying, by one or more processors, a plurality of models of theone or more detected items and consequently display a plurality of service providersoperating to offer repair or maintenance services of the identified model of the items. Themethod further comprises the step 318 of determining, by one or more processors, the serviceproviders frequently preferred by the user and display the plurality of preferred serviceproviders.

[0070] In operation, the present system and method enable the users to document or capturethe problems that they are experiencing or services that they require. The present systemand method offer them at least four methods of documenting the problems and services requiredsuch as recording a video, taking photos, writing text, voice recording or a combination of all4 formats using the computing device 104 which also includes smart eyeglass with aninbuilt camera, microphone, keyboard etc.

[0071] Then the present system and method enable the user to automatically upload/transmitthe documented videos, photos, voice recordings and text are automatically to a cloud-basedportal. Once the user/consumer has documented the problem using the present system, thesystem provides the user with a listing of service providers that can provide the service to auser who has requested the service. In an embodiment, the listing of the service providers isbased on the geographical location of the user who requested the service. Further, the systemmay also enable the user to choose the service providers based on the price bid offers andservice availability schedules of the service providers.

[0072] In an embodiment, the present system utilizes a cloud-based portal which isaccessible to the service providers and product suppliers. The cloud-based portal enables theservice providers to view and analyze the problem or service request and provide pricequotations and availability schedules to the client or user. The present system utilizes machinelearning algorithms to leam the patterns of problems and service requests that have a commontheme or similar characteristics. Using this attained knowledge, the present systemautomatically and quickly identifies the problems or service requests that have similarcharacteristics as the problems that have been previously solved or the services previouslyoffered or provided by various service providers. This mechanism of the present system enablesthe user to quickly get more specific search results and suitable service providers who havesuccessfully solved the identified problem or provided the service requested.

[0073] Machine Learning and Al Process: The present systems and methods lie in the fields ofindustrial and domestic service requests and fee-for-service. The present disclosure relates to amobile app, web portal and use of on demand cloud based platforms to quickly and efficientlyprocess service requests. The emergence of powerful machine learning tools and artificialintelligence [Al] technologies offered by on demand cloud computing service providers havesignificantly reduced SMEs operating costs incurred by hiring highly skilled professionals ,software and server hardware required to develop machine learning and artificial intelligencesolutions. Machine learning tools and artificial intelligence [AI]APIs offered by on demandcloud platforms enables SMEs to tap into high-quality vision, speech, language, and knowledgetechnologies developed with decades of on demand cloud platforms research to build intelligentapps. The investments required for this type of research would not be financially feasible to a majority of SMEs. Videos pose a unique challenge to automated content recognition,particularly for use in a complex, large-scale, real-time application. Not only are deep learningalgorithms difficult to implement and use, but processing large video files and large output filescan require a lot of computing power. On demand cloud platforms offer a wealth of tools andservices that makes so many of those challenges so much easier to solve and cost effective.

[0074] The following architecture illustrates how the present invention uses on demand cloudtools and services to process videos through content recognition and to build usable datasets.The process starts as the system ingests new customer service request videos. A message issent to an on demand cloud platform queue for pending media recognition. This queue acts asa buffer to manage the throughput to the on demand cloud platform multimedia recognitionAPI. (multi-media: photos, videos, sounds, text or a combination of all 4 mentioned formats).The next step is triggered by an event configured on a fixed-rate schedule to process the SQSqueue (distributed message queuing service offered by the on demand cloud service provider)and start the Process Recognition step function. This step function then coordinates several ondemand cloud Lambda functions to manage the subsequent image and video recognitionrequests and dataprocessing. In the process Step Function, the customer service request videosare processed through the multiple on demand cloud platforms multimedia recognition APIoperations. This step function has the following states: 1. Start Recognition of customer request videos - A Lambda function that starts and tracks themultimedia recognition job. 2. Await Recognition of customer request videos - A wait state that sleeps for a certain amountof time to let the multimedia recognition processes complete. 3. Update Recognition Status of customer request video - A Lambda function that monitorsfor the notification that the asynchronous recognition tasks are completed. Then it signals tothe step function when it can continue. 4. Check recognition of customer request video is complete - A choice state that looks at theprevious steps and decides whether to retry the wait, whether the recognition of the customerrequest video has failed, or whether to continue. 5. Process Recognition Response - A Lambda function that processes the response data fromall requested jobs for a video into datasets suitable for processing the customer’s servicerequest.

The Lambda functions for customer service request video recognition processing rely on threemain on-demand cloud processing services: • Multimedia Recognition - This is used to start, retrieve status, and retrieve results fromindividual recognition jobs. • Server Storage - Video files and raw recognition output are stored on the on demandcloud service provider’s servers. • Relational Database - video requests and associated data are stored in a MySQL RDSinstance.

[0075] Further, the present system automatically identifies various devices or products.Thereafter the present system uses the identified information to automatically identify thesuitable service providers who can able to offer repair or maintenance services for that deviceor product. For example, if the user records a problem about a broken light bulb, the presentsystem is able to identify that the faulty device is a light bulb and automatically limits theservice providers listing or search results to only show electricians instead of plumbers.

[0076] Furthermore, the present system automatically identifies various models of devicesor products. Using this information, it automatically identifies suitable service providers whocan able to offer repair or maintenance services for that device or product. Additionally,the present system learns the models of the various devices that the user has previouslyrequested for repair/maintenance services. The data concerning models of various devicesis collected from but not limited to data requests from users requesting service, serviceproviders service delivery reports, service provider invoices and etc. Using this information,the present system automatically informs the user about the device upgrade options orprovides the user with alerts about service schedules as per the device manufacturer'srequirements. The present system automatically filters out illicit content and flags the user tothe customer support team for further verification to prevent misuse of the present system. Incase any user captures a part of his/her body and tries to upload, then the present system canautomatically determine the object and decides not to upload this type of content.

[0077] FIG. 4 illustrates an exemplary operational block diagram 400 of the present system andmethod, in accordance with at least one embodiment. The user 1 points (gesture) his/her mobiledevice 2 at a broken light (issue) 3 and captures a live video recording 4 of issue 3. The presentsystem by utilizing a software application enables the mobile device 2 that has a camera and a plurality of sensors to automatically recognise the gesture from the user, automaticallyrecognise device or issue that user is capturing a live video 4. Further, the present systemtransmits the captured data to the on-demand cloud platform. The captured live video of anissue in a file format is analysed and processed in conjunction with the mobile device andthe on-demand cloud platform.

[0078] The video file is pre-processed 6 by mobile device processors and sensors 5 fortransmitting to the on-demand cloud platform or to be processed by the mobile device in theevent of limited network bandwidth access. In the event of limited network bandwidth totransmit file to video file to the on-demand cloud platform, the present system stores 7 thecaptured video file in mobile device storage. The system automatically syncs with the on-demand cloud platform once a reliable network bandwidth is established. Then the systemprocess and analyse 8 the captured video file. Further, the present system transmits 9 theprocessed data to mobile device input/output interface.

[0079] The system then displays 10 to the user the listings of available service providers whocan provide service for the issue that has been captured by the user. Further, the system transmitsthe pre-processed file to the on-demand cloud-computing platform 11. The present systemensures that the transmitted file complies with the set-parameters and rules of the on-demandcloud platform. Then the system stores 12 the captured file on cloud platform which is readyfor analysis and processing. The system also archives processed files for machine learningcapabilities and data analytics 12. Then the system processes and analyses 13 the captured videofile. The system transmits the processed data 14 to mobile device input/output interface to theuser who submitted a request to a service provider who can provide service or product requestedby the user.

[0080] Furthermore, the system alerts the service provider 15 about the user request and thecaptured issue. The system provides the service provider with options on how to receive servicerequests made by the users. The system automatically determines which service or productsupplier should be contacted. This determination is made from the system's automatic deviceor issues recognition and machine learning capabilities. The service provider may view 16user issue stored on the on-demand cloud platform. The system enables the service providerto use their mobile device to view the issue. Then the system enables the service provider todirectly contact 17 the user, offer the user a preliminary cost proposal and offer user apreliminary service delivery schedule. The system may use the service provider mobile device 18 to pre-process the data related to contact the user of the issue, offer the user or issue a costproposal and offer user of issue a service delivery schedule. The system transmits the pre-processed file to the on-demand cloud-computing platform. The system ensures that thetransmitted file complies with the set-parameters and rules.

[0081] The symbol 19 represents service provider monetary preliminary bid to the user.

The symbol 20 represents service provider preliminary service delivery schedule offer to theuser. The symbol 21 represents the contact user options available to the service provider.The service provider’s mobile device is shown as 22 in the FIG. 4.

[0082] The symbol 23 represents the service requests alerts to the service provider. Thepresent system generates the service request alerts. The symbol 24 represents that the user maycontact the service or product provider to request the service. The symbol 25 represents that theother information and data system can be presented to the user. The symbol 26 representsthe listing of the service provided to user detailing information about available serviceproviders who can provide them with service or product as pertaining to their captured issue.The symbol 27 represents information about the service provider’s preliminary servicedelivery schedule offer to the user. The symbol 28 represents the information about theservice provider’s preliminary monetary bid offer to the user.

[0083] FIG. 5 is a flow diagram of a detailed exemplary process for processing videos throughcontent recognition and to build usable datasets using on demand cloud tools and services. Atstep 502, the system ingests new customer service request videos. At step 504, a message is sentto an on demand cloud platform queue for pending media recognition. This queue acts as a bufferto manage the throughput to the on demand cloud platform multimedia recognition API. At step506, the next step is triggered by an event configured on a fixed-rate schedule to process theSQS queue and start the Process Recognition step function. In an embodiment, distributedmessage queuing service is offered by the on demand cloud service provider. At step 508, theProcess Recognition step function then coordinates with several on demand cloud Lambdafunctions to manage the subsequent image and video recognition requests and data processing.In an embodiment, in the process Step Function, the customer service request videos areprocessed through the multiple on demand cloud platforms multimedia recognition APIoperations. In an embodiment, the process recognition step comprises the steps of 508a, 508band 508c. At step 508a, recognition is started. At step 508b, status of the process is updated. Atstep 508c, the response of the process is provided. Further, at step 510a and 510b video recognition is performed and finally Control passes to end step 512 where the recognitionnotification is provided.

[0084] FIG. 6 is another flow diagram that illustrates the different states of the step function. Atstep 602, a Lambda function starts and tracks the multimedia recognition job which is denotedby the Start Recognition of customer request videos status. At step 604, a wait state that sleepsfor a certain amount of time to let the multimedia recognition processes complete, which isdenoted by Await Recognition of customer request videos status. At step 606, the Lambdafunction monitors the notification that the asynchronous recognition tasks are completed. Thenthe Lambda function signals to the step function when it can continue which is denoted by UpdateRecognition Status of customer request video status. At step 608, the previous steps are lookedat and the system decides whether to retry the wait, whether the recognition of the customerrequest video has failed 610a, or whether to continue which is denoted by Check recognition ofcustomer request video as complete status. At step 610b, the Lambda function that processes theresponse data from all requested jobs for a video into datasets suitable for processing thecustomer’s service request is denoted by Process Recognition Response status.

In an embodiment, the Lambda functions for customer service request video recognitionprocessing rely on three main on-demand cloud processing services: • Multimedia Recognition - This is used to start, retrieve status, and retrieve results fromindividual recognition jobs. • Server Storage - Video files and raw recognition output is stored on the on demand cloudservice provider’s servers. • Relational Database - video requests and associated data are stored in a MySQL RDSinstance. Finally, control passes to end step 612.

[0085] The term “and/or” means that “and” applies to some embodiments and “or” applies tosome embodiments. Thus, A, B, and/or C can be replaced with A, B, and C wrote in onesentence and A, B, or C written in another sentence. A, B, and/or C means that someembodiments can include A and B, some embodiments can include A and C, someembodiments can include B and C, some embodiments can only include A, someembodiments can include only B, some embodiments can include only C, and someembodiments can include A, B, and C. The term “and/or” is used to avoid unnecessaryredundancy.

[0086] Where the specification claims refer to at least one of something selected from thegroup consisting of A, B, C ... and N, the text should be interpreted as requiring only oneelement from the group, not A plus N, or B plus N, etc. The foregoing description of thespecific embodiments will so fully reveal the general nature of the embodiments herein thatothers can, by applying current knowledge, readily modify and/or adapt for variousapplications such specific embodiments without departing from the generic concept, and,therefore, such adaptations and modifications should and are intended to be comprehendedwithin the meaning and range of equivalents of the disclosed embodiments. It is to beunderstood that the phraseology or terminology employed herein is for the purpose ofdescription and not of limitation. Therefore, while the embodiments herein have beendescribed in terms of preferred embodiments, those skilled in the art will recognize that theembodiments herein can be practiced with modification within the spirit and scope of theappended claims.

[0087] While embodiments of the present disclosure have been illustrated and described, itwill be clear that the disclosure is not limited to these embodiments only. Numerousmodifications, changes, variations, substitutions, and equivalents will be apparent to thoseskilled in the art, without departing from the spirit and scope of the disclosure, as described inthe claims.

Claims (15)

1. A device in a network, comprising: a non-transitory storage device having embodied therein one or more routines operable toprovide a plurality of service providers based on one or more issues received from a user;and one or more processors coupled to the non-transitory storage device and operable toexecute the one or more routines, wherein the one or more routines include: a computing mobile device configured to capture the one or more issues througha computing device, wherein the computing device captures the issues by at leastone of recording a video, taking a picture, writing text, voice recording, and/or acombination thereof; an upload module configured to upload the captured issues over the network,wherein the one or more issues are pertaining to at least one of a household service,a repairing service, a construction service, an automobile service, a businessservice, a renovation service and/or a combination thereof; an analysis module configured to analyze the uploaded issues and furthercategorize the uploaded issues into a service category, a plurality of serviceproviders and/or a combination thereof; a display module configured to display the plurality of service providers operatingto provide a service related to the issues uploaded by the user, wherein the pluralityof service providers are displayed based on a geographical location of the user,further the service providers provide a bid offer and service availability scheduleto provide the service; and a selection module configured to select the serviceprovider based on the bid offer and the service availability schedule.

2. The device as claimed in claim 1, wherein the one or more routines comprise a detectionmodule configured to detect one or more items on receiving a pointing gesture from the user through the computing device, wherein the one or more items are selected from atleast one of electrical-electronic units, furniture, building infrastructure and/or acombination thereof.

3. The device as claimed in claim 2, wherein the one or more routines comprise a firstidentification module configured to identify patterns of issues with a common categoryor a similar characteristic to accurately display a plurality of service providers onidentifying similar issues in future.

4. The device as claimed in claim 2, wherein the one or more routines comprise a secondidentification module configured to identify a plurality of models of the one or moredetected items and consequently display a plurality of service providers operating to offerrepair or maintenance services of the identified model of the items; a third identificationmodule configured to identify a plurality of device models of the one or more detecteditems and consequently display a plurality of suppliers to offer a new or upgrade of theidentified device model of the items.

5. The device as claimed in claim 1, wherein the one or more routines comprise adetermination module configured to determine the service providers frequently preferredby the user and display the plurality of preferred service providers.

6. A method for providing a plurality of service providers based on one or more issuesreceived from a user, the method comprising steps of: capturing, by one or more processors, the one or more issues through a computing device, whereinthe computing device captures the issues by at least one of recording a video, taking a picture,writing text, voice recording, and/or a combination thereof; uploading, by one or more processors, the captured issues over a network, wherein the one ormore issues are pertaining to at least one of a household service, a repairing service, a constructionservice, an automobile service, a business service, a renovation service and/or a combinationthereof; analyzing, by one or more processors, the uploaded issues and further categorize the uploadedissues into a service category, a plurality of service providers and/or a combination thereof; displaying, by one or more processors, the plurality of service providers operating to provide aservice related to the issues uploaded by the user, wherein the plurality of service providers aredisplayed based on a geographical location of the user, further the service providers provide a bidoffer and service availability schedule to provide the service; and selecting, by one or moreprocessors, the service provider based on the bid offer and the service availability schedule.

7. The method as claimed in claim 6, further comprising the step of detecting, by one ormore processors, one or more items on receiving a pointing gesture from the user throughthe computing device, wherein the one or more items are selected from at least one ofelectrical-electronic units, furniture, building infrastructure and/or a combination thereof.

8. The method as claimed in claim 6, further comprising the step of identifying, by one ormore processors, patterns of issues with a common category or a similar characteristic toaccurately display a plurality of service providers on identifying similar issues in future.

9. The method as claimed in claim 6, further comprising the step of identifying, by one ormore processors, a plurality of models of the one or more detected items and consequentlydisplay a plurality of service providers operating to offer repair or maintenance servicesof the identified model of the items.

10. The method as claimed in claim 6, further comprising the step of determining, by one ormore processors, the service providers frequently preferred by the user and display theplurality of preferred service providers.

11. A system to provide a plurality of service providers based on one or more issues receivedfrom a user, the system comprising: a processor; and a memory to store machine readable instructions that when executed by the processorcause the processor to: capture the one or more issues through a computing device, wherein thecomputing device captures the issues by at least one of recording a video, taking a picture, writing text, voice recording, and/or a combination thereof; upload the captured issues over a network, wherein the one or more issuesare pertaining to at least one of a household service, a repairing service, aconstruction service, an automobile service, a business service, a renovationservice and/or a combination thereof; analyze the uploaded issues and further categorize the uploaded issues intoa service category, a plurality of service providers and/or a combination thereof; display the plurality of service providers operating to provide a servicerelated to the issues uploaded by the user, wherein the plurality of serviceproviders are displayed based on a geographical location of the user, further theservice providers provide a bid offer and service availability schedule to providethe service; and select the service provider based on the bid offer and the serviceavailability schedule.

12. The system according to claim 11, wherein the processor is further configured to detectone or more items on receiving a pointing gesture from the user through the computingdevice, wherein the one or more items are selected from at least one of electrical-electronic units, furniture, building infrastructure and/or a combination thereof.

13. The system according to claim 11, wherein the processor is further configured to identifypatterns of issues with a common category or a similar characteristic to accurately displaya plurality of service providers on identifying similar issues in future.

14. The system according to claim 11, wherein the processor is further configured to identifya plurality of models of the one or more detected items and consequently display aplurality of service providers operating to offer repair or maintenance services of theidentified model of the items.

15. The system according to claim 11, wherein the processor is further configured todetermine the service providers frequently preferred by the user and display the pluralityof preferred service providers.