Claims:We Claim:

1. A computer system comprising:
one or more processors; and
a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for providing automated decisions based on the user profile of a user (102) in real-time, the method comprising:
providing, at a rule engine (110) is associated with a decision making system (108), a rule data by an administrator (116) associated with a server (114), wherein the rule data defines one or more rules for the decision making system (108), wherein the rule data is provided to the rule engine (110) in one or more input forms;
receiving, at the decision making system (108), a user data from the user (102) associated with a computing device (104) in real-time, wherein the user data is received from the user (102) in the one or more input forms;
verifying, at the decision making system (108), authenticity of the user data received from the user (102), wherein the verification is done using one or more techniques, wherein the verification is done using one or more set of data, wherein the one or more set of data comprises of a demographic data, a third-party data, and a decision data;
adding, at the decision making system (108), the user (102) in a bucket of one or more buckets, wherein the one or more buckets are created dynamically in real-time based on one or more personality factors;
creating, at a profile generating module (112) is associated with the decision making system (108), a user profile of the user (102) based on the user data and the one or more set of data, wherein the user profile is created based on analysis and structuring of the user data, and the one or more set of data;
initiating, at the decision making system (108), a risk analysis of the user (102) based on the rule data and the user profile to generate an eligibility score of the user (102), wherein the risk analysis is performed to provide one or more decisions for the user (102); and
providing, at the decision making system (108), an automated final decision of the one or more decisions for the user (102), wherein the automated final decision is performed in real-time for the user (102).
2. The computer system as recited in claim 1, wherein the rule data comprises the one or more rules that enable the decision making system (108) to provide the automated final decision of the one or more decisions, wherein the one or more rules comprises of financial rules, civil rules and health rules, wherein the financial rules define financial requirements that facilitate the decision making system (108) to provide the automated final decision of the one or more decisions, wherein the civil rules define civil requirements that facilitate the decision making system (108) to provide the automated final decision of the one or more decisions, wherein the health rules define health related policies that enable the decision making system (108) to provide the automated final decision of the one or more decisions.
3. The computer system as recited in claim 1, wherein the user data is received from the computing device (104) in one or more input forms, wherein the one or more input forms comprises of text, audio, video, images, animation, and interactive content.
4. The computer system as recited in claim 1, wherein the one or more set of data comprises a demographic data, third-party data, and a decision data, wherein the demographic data is associated with personal information of the user (102), wherein the demographic data comprises of first name, last name, age, gender, father name, mother name, education level, mobile number, address, nationality, income level, marital status, employment status, children, occupation, and religion, wherein the third-party data comprises of image of the user (102), address, company name, current salary, current location, mobile number, and mail id, wherein the decision data comprises click data, completed process data, information viewed by the user (102), data of previous decisions made by the decision making system (108), and interaction of the user (102) with the decision making system (108).
5. The computer system as recited in claim 1, wherein the one or more sources comprises at least one of a data warehouse, a database (114a), third-party databases, social-networking sites, and web-based platforms.
6. The computer system as recited in claim 1, wherein the one or more techniques comprises of fingerprint identification, voice recognition, retinal scans, iris scans, and facial recognition.
7. The computer system as recited in claim 1, wherein the one or more buckets are created based on behavior characteristics of users, wherein the one or more buckets facilitate in identification of character of the user (102), wherein the one or more buckets are created based on factors such as reserved or warm, emotionally stable or reactive, deferential or dominant, serious or lively, trusting or vigilant, sensitive or unsentimental, self-assured or apprehensive, shy or bold, expedient or rule-conscious, private or forthright, abstracted or practical.
8. The computer system as recited in claim 1, wherein the risk analysis comprises a value of actual risk and a probable risk, wherein the risk analysis is initiated in real-time.
9. The computer system as recited in claim 1, wherein the one or more decisions comprises at least one of an accept decision, a reject decision or a recommendation, wherein the recommendation is provided to the user (102) to improve accuracy of the automated final decision of the decision making system (108).
10. The computer system as recited in claim 1, wherein the automated final decision of the one or more decisions is approved by the administrator (116) manually to improve accuracy of the decision making system (108).
, Description:METHOD AND SYSTEM FOR PROVIDING AUTOMATED DECISIONS BASED ON DYNAMIC USER PROFILE IN REAL-TIME
TECHNICAL FIELD
[0001] The present disclosure relates to the field of a data processing, and in particular, relates to a method and system for providing automated decisions based on dynamic user profile in real-time.
BACKGROUND
[0002] BFSI stands for banking, financial services and insurance. BFSI is an industry term for companies that provide a range of such financial products/services, such as universal banks. BFSI includes commercial banks, insurance companies, non-banking financial companies, cooperatives, pension funds, mutual funds and other smaller financial entities. Currently, companies operating under the BFSI are using traditional human assisted decision approach to take a decision to determine risk of lending money to an individual. Additionally, human assisted decision approach is time consuming, error prone and costly.
OBJECT OF THE DISCLOSURE
[0003] A primary object of the present disclosure is to provide an automated final decision based on a user profile in real-time.
[0004] Another object of the present disclosure is to create the user profile based on analysis and structuring of one or more set of data.
[0005] Yet another object of the present disclosure is to perform risk analysis of a user in real-time.
[0006] Yet another object of the present disclosure is to determine whether the user is capable of repaying value of a financial asset.
[0007] Yet another object of the present disclosure is to giving access to an administrator for modifying the automated final decision.
SUMMARY
[0008] The present disclosure provides a computer system. The computer system includes one or more processors and a memory. The memory is coupled to the one or more processors. The memory stores instructions. The instructions are executed by the one or more processors. The execution of instructions causes the one or more processors to perform a method to provide an automated final decision based on a user profile in real-time. The method includes a first step to provide a rule data at a rule engine associated with a decision making system by an administrator associated with a server. The method includes next step to receive a user data from the user in real-time at the decision making system. The method includes yet another step to verify authenticity of the user data received from the user at the decision making system. The method includes yet another step to add the user in a bucket of one or more buckets at the decision making system. The method includes yet another step to create the user profile of the user based on the user data and the one or more set of data at a profile generating system associated with the decision making system. The method includes yet another step to perform the risk analysis of the user based on the rule data and the user profile to generate an eligibility score of the user at the decision making system. The method includes yet another step to provide the automated final decision of the one or more decisions for the user at the decision making system. The rule data defines one or more rules for the decision making system in the rule engine. The rule data is provided to the decision making system in one or more input forms. The user data is received from the user in a computing device. The verification is done using one or more techniques. The verification is done using one or more set of data. The one or more set of data includes a demographic data, a third-party data, and a decision data. The one or more buckets are created dynamically in real-time based on one or more personality factors. The user profile is created based on analysis and structuring of the user data, and the one or more set of data. The risk analysis is performed to provide the automated final decision of the one or more decisions for the user. The automated final decision is performed in real-time for the user.
[0009] In an embodiment of the present disclosure, the rule data includes the one or more rules that enable the decision making system to provide the automated final decision of the one or more decisions. The one or more rules include financial rules, civil rules and health rules. The financial rules define financial requirements that facilitate the decision making system to provide the automated final decision of the one or more decisions. The civil rules define civil requirements that facilitate the decision making system to provide the automated final decision of the one or more decisions. The health rules define health related policies that facilitate the decision making system to provide the automated final decision of the one or more decisions.
[0010] In an embodiment of the present disclosure, the user data is received from the one or more input devices in one or more input forms. The one or more input forms include of text, audio, video, images, animation, and interactive content.
[0011] In an embodiment of the present disclosure, the one or more set of data include a demographic data, third-party data, and a decision data. The demographic data is associated with personal information of the user. The demographic data includes first name, last name, age, gender, father name, mother name, education level, mobile number, address, nationality, income level, marital status, employment status, children, occupation, and religion. The third-party data includes image of the user, address, company name, current salary, current location, mobile number, and mail id. The decision data includes click data, completed process data, information viewed by the user, data of previous decisions made by the decision making system, and interaction of the user with the decision making system.
[0012] In an embodiment of the present disclosure, the one or more sources include at least one of a data warehouse, a database, third-party databases, social-networking sites, and web-based platforms.
[0013] In an embodiment of the present disclosure, the one or more techniques include fingerprint identification, voice recognition, retinal scans, iris scans, and facial recognition.
[0014] In an embodiment of the present disclosure, the one or more buckets are created based on behavior characteristics of users. The one or more buckets facilitate in identification of character of the user. The one or more buckets are created based on factors such as reserved or warm, emotionally stable or reactive, deferential or dominant, serious or lively, trusting or vigilant, sensitive or unsentimental, self-assured or apprehensive, shy or bold, expedient or rule-conscious, private or forthright, abstracted or practical.
[0015] In an embodiment of the present disclosure, the risk analysis includes a value of actual risk and a probable risk.
[0016] In an embodiment of the present disclosure, the one or more decisions includes at least one of an accept decision, a reject decision or a recommendation. The recommendation is provided to the user to improve accuracy of the automated final decision of the decision making system.
[0017] In an embodiment of the present disclosure, the automated final decision of the one or more decisions is approved by the administrator manually to improve accuracy of the decision making system.
BRIEF DESCRIPTION OF THE FIGURES
[0018] Having thus described the invention in general terms, reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:
[0019] FIG. 1 illustrates a general overview of an interactive computing environment 100 for providing an automated final decision based on a user profile in real-time, in accordance with various embodiments of the present disclosure; and
[0020] FIG. 2 illustrates a block diagram of a computing device, in accordance with various embodiments of the present disclosure.
DETAILED DESCRIPTION
[0021] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present technology. It will be apparent, however, to one skilled in the art that the present technology can be practiced without these specific details. In other instances, structures and devices are shown in block diagram form only in order to avoid obscuring the present technology.
[0022] Reference in this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present technology. The appearance of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which may be exhibited by some embodiments and not by others. Similarly, various requirements are described which may be requirements for some embodiments but not other embodiments.
[0023] Moreover, although the following description contains many specifics for the purposes of illustration, anyone skilled in the art will appreciate that many variations and/or alterations to said details are within the scope of the present technology. Similarly, although many of the features of the present technology are described in terms of each other, or in conjunction with each other, one skilled in the art will appreciate that many of these features can be provided independently of other features. Accordingly, this description of the present technology is set forth without any loss of generality to, and without imposing limitations upon, the present technology.
[0024] FIG. 1 illustrates a general overview of an interactive computing environment 100 for providing an automated final decision based on a user profile in real-time, in accordance with various embodiments of the present disclosure. The interactive computing environment 100 includes the user 102, a computing device 104, a communication network 106, a decision making system 108, a server 114, a database 114a, and an administrator 116.
[0025] The interactive computing environment 100 includes the user 102. The user 102 corresponds to any number of person or individual associated with the decision making system 108. The user 102 provides a user data with facilitation of the computing device 104. The computing device 104 provides an interface for the user 102 to interact with the interactive computing environment 100. The user 102 can interact with the interactive computing environment 100 through more than one computing device. For example, a person Y at home connects with the interactive computing environment 100 through a smartphone to provide the basic user detail. The computing device 104 are associated with a specific type of operating system. The specific type of operating system includes a mac operating system, a windows operating system, an android operating system and the like. In an embodiment of the present disclosure, the operating system corresponds to any suitable operating system.
[0026] The interactive computing environment 100 includes the computing device 104. The computing device 104 is associated with the user 102. The user 102 is any person that wants to receive one or more decisions in real-time. In an embodiment of the present disclosure, the user 102 is any person who wants a financial decision from the decision making system 108. In another embodiment of the present disclosure, the user 102 is any person who wants a financial decision related to any health related policy from the decision making system 108. In another embodiment of the present disclosure, the user 102 is any person who wants financial decision related to wealth management decision from the decision making system 108. The decision making system 108 is capable of providing financial decision along with value of financial asset to the user 102.
[0027] In an embodiment of the present disclosure, the computing device 104 is a portable computing device. The portable computing device includes but may not be limited to laptop, smartphone, tablet, PDA and smart watch. In an example, the portable computing device may be an iOS-based smartphone, an Android-based smartphone, a Windows-based smartphone and the like. In another embodiment of the present disclosure, the computing device 104 is a fixed computing device. The fixed computing device includes but may not be limited to desktop, workstation, smart TV and mainframe computer.
[0028] In addition, the computing device 104 performs computing operations based on a suitable operating system installed inside the computing device 104. In general, the operating system is system software that manages computer hardware and software resources and provides common services for computer programs. In addition, the operating system acts as an interface for software installed inside the computing device 104 to interact with hardware components of the computing device 104. In an embodiment of the present disclosure, the computing device 104 performs computing operations based on any suitable operating system designed for the portable computing device. In an example, the operating system installed inside the computing device 104 is a mobile operating system. Further, the mobile operating system includes but may not be limited to Windows operating system from Microsoft, Android operating system from Google, iOS operating system from Apple, Symbian operating system from Nokia, Bada operating system from Samsung Electronics and BlackBerry operating system from BlackBerry. However, the operating system is not limited to above mentioned operating systems. In an embodiment of the present disclosure, the computing device 104 operates on any version of particular operating system corresponding to above mentioned operating systems.
[0029] In another embodiment of the present disclosure, the computing device 104 performs computing operations based on any suitable operating system designed for fixed computing device. In an example, the operating system installed inside the computing device 104 is Windows from Microsoft. In another example, the operating system installed inside the computing device 104 is Mac from Apple. In yet another example, the operating system installed inside the computing device 104 is Linux based operating system. In yet another example, the operating system installed inside the computing device 104 is Chrome OS from Google. In yet another example, the operating system installed inside the computing device 104 may be one of UNIX, Kali Linux, and the like. However, the operating system is not limited to above mentioned operating systems.
[0030] In an embodiment of the present disclosure, the computing device 104 operates on any version of Windows operating system. In another embodiment of the present disclosure, the computing device 104 operates on any version of Mac operating system. In yet another embodiment of the present disclosure, the computing device 104 operates on any version of Linux operating system. In yet another embodiment of the present disclosure, the computing device 104 operates on any version of Chrome OS. In yet another embodiment of the present disclosure, the computing device 104 operates on any version of particular operating system corresponding to above mentioned operating systems.
[0031] Further, the interactive computing environment 100 includes the communication network 106. In an embodiment of the present disclosure, the communication network 106 connects the computing device 104 to the decision making system 108. The communication network 106 provides medium to the computing device 104 to connect to the decision making system 108. Also, the communication network 106 provides network connectivity to the computing device 104. In an example, the communication network 106 uses a set of protocols to connect the computing device 104 to the decision making system 108. The communication network 106 connects the computing device 104 to the decision making system 108 using a plurality of methods. The plurality of methods used to provide network connectivity to the computing device 104 includes 2G, 3G, 4G, 5G, Wifi and the like.
[0032] In an embodiment of the present disclosure, the communication network 106 is any type of network that provides internet connectivity to the computing device 104. In an embodiment of the present disclosure, the communication network 106 is wireless mobile network. In another embodiment of the present disclosure, the communication network 106 is wired network with finite bandwidth. In yet another embodiment of the present disclosure, the communication network 106 is combination of the wireless and the wired network for optimum throughput of data transmission. In yet another embodiment of the present disclosure, the communication network 106 is an optical fiber high bandwidth network that enables high data rate with negligible connection drops.
[0033] The interactive computing environment 100 includes the decision making system 110. In addition, the decision making system 108 includes a rule engine 110 and a profile generating module 112. The decision making system 108 is responsible for computing operations performed by the interactive computing environment 100. The decision making system 108 receives data from the user 102 as input. The decision making system 108 performs validation and processing on received data and initiates risk analysis of the user 102. In addition, the decision making system 108 creates the user profile based on the data. Further, the decision making system 108 provides value of the financial asset to be provided to the user 102 based on the user profile and risk analysis. The decision making system 108 provides recommendation to the user 102 if the user data provided by the user 102 is not complete or appropriate. Also, the decision making system 108 is connected with the server 114. The server 114 is associated with the database 114a.
[0034] The interactive computing environment 100 includes the administrator 116. In an embodiment of the present disclosure, the administrator 116 is any person that configures and operates the decision making system 108 at back end. In another embodiment of the present disclosure, the administrator 116 is any person that maintains and operates the decision making system 108. In yet another embodiment of the present disclosure, the administrator 116 is any person that troubleshoots the decision making system 108. In an embodiment of the present disclosure, the administrator 116 utilizes the computing device 104 to connect with the decision making system 108. In an embodiment of the present disclosure, the computing device 104 of the administrator 116 is connected to the decision making system 108 through the communication network 106.
[0035] The administrator 116 provides a rule data to the rule engine 110 that is associated with the decision making system 108. The rules engine 110 is a system that executes one or more rules in the interactive computing environment 100. When rules engine 110 processes command input by the user 102, therefore, it can control the parameters of the user 102. In addition, the rules engine 110 transmits commands to the decision making system 108. The one or more rules are a set of rules that helps to break down complex processes into simple, and repetitive steps. The rule data is associated with the decision making system 108. The rule data defines the one or more rules for the decision making system 108. The rule data is provided to the decision making system 108 in one or more input forms. The one or more input forms include text, audio, video, images, animation, interactive content, and the like. In addition, the rule data is provided to the decision making system 108 in one or more formats. The one or more formats include but may not be limited to form and table.
[0036] Further, the rule data includes the one or more rules that facilitate the decision making system 108 to provide the automated final decision of the one or more decisions. In an embodiment of the present disclosure, the automated final decision refers to decision that may either be accepted or rejected by the user 102. In an embodiment of the present disclosure, the automated final decision is decision that is provided after the one or more recommendations are either accepted or rejected by the user 102. The automated final decision is last decision for the user 102 based on the user data. The one or more rules include financial rules, civil rules, health rules and the like. The financial rules define financial requirements that facilitate the decision making system 108 to provide the automated final decision of the one or more decisions. The civil rules define civil requirements that facilitate the decision making system 108 to provide the automated final decision of the one or more decisions. The health rules define health related policies that facilitate the decision making system 108 to provide the automated final decision of the one or more decisions. In an embodiment of the present disclosure, the rule data is used to initially train the decision making system 108.
[0037] The decision making system 108 receives a user data from the user 102 in real-time. The user data is received from the user 102 in the one or more input forms from the computing device 104. In an embodiment of the present disclosure, the user data is received from the computing device 104. The one or more input forms include text, audio, video, images, animation, interactive content, and the like. In an embodiment of the present disclosure, the user data is received from the user 102 in the one or more formats. In an example, the one or more formats include but may not be limited to form and table.
[0038] The decision making system 108 verifies authenticity of the user data received from the user 102. The verification is done using one or more techniques. The verification is done using one or more set of data. The one or more set of data includes but may not be limited to a demographic data, a third-party data, and a decision data.
[0039] The demographic data is associated with personal information of the user 102. The demographic data includes first name, last name, age, gender, father name, mother name, education level, mobile number, address, nationality, income level, marital status, employment status, children, occupation, religion, and the like. The third-party data includes image of the user 102, address, company name, current salary, current location, mobile number, mail id, and the like. The decision data includes click data, completed process data, information viewed by the user 102, data of previous decisions made by the decision making system 108, interaction of the user 102 with the decision making system 108, and the like.
[0040] The decision making system 108 fetches the one or more set of data from one or more sources. The one or more sources includes at least one of a data warehouse, the database 114a, third-party databases, social-networking sites, web-based platforms, and the like. In an example, the web-based platforms and social-networking sites includes websites such as Facebook, Instagram, WhatsApp, Linkedin, Twitter, Gmail, Yahoo, Orkut and the like.
[0041] The one or more set of data is fetched to verify the authenticity of the user 102. The one or more techniques include but may not be limited to fingerprint identification, voice recognition, retinal scans, iris scans, and facial recognition. In an embodiment of the present disclosure, the decision making system 108 verifies the authenticity of the user 102 by mapping the user data of the user 102 with the one or more set of data fetched from the one or more sources. The mapping of data is done in real time.
[0042] In an embodiment of the present disclosure, the decision making system 108 receives the user data in unstructured form. In another embodiment of the present disclosure, the decision making system 108 receives the one or more set of data in the unstructured form. The decision making system 108 converts the unstructured data into structured form. The decision making system 108 converts the unstructured data into structured form using a plurality of techniques. The plurality of techniques includes but may not be limited to techniques such as natural language processing and data matching.
[0043] In an embodiment of the present disclosure, the decision making system 108 performs pre-filtering of the user data. The decision making system 108 performs pre-filtering in real-time. The decision making system 108 calculates an initial decision for the user 102. The initial decision includes an initial risk analysis of the user 102. The decision making system 108 calculates whether the user 102 should or should not be provided with the financial asset. In an embodiment of the present disclosure, the pre-filtering of the user data is performed to identify percentage of accurate data provided by the user 102 in form of the user data.
[0044] In an example, the user 102 provides professional information and does not provide complete personal information. The decision making system 108 reduces chance of providing the financial asset to the user 102. In another example, the user 102 provides both professional and personal information. The decision making system 108 increases chance of providing the financial asset to the user 102.
[0045] The decision making system 108 adds the user 102 in a bucket of one or more buckets. The one or more buckets are created dynamically in real-time based on one or more personality factors. In an embodiment of the present disclosure, the bucket of the one or more buckets corresponds to the personality factor or combination of the one or more personality factors. The number of the one or more buckets is sixteen. However, the number of the one or more buckets is not restricted to sixteen.
[0046] The one or more buckets are created based on behavior characteristics of users. The one or more buckets facilitate in identification of character of the user 102. The one or more buckets facilitate identification of the user 102 regarding repayment, financial asset expectation, and the like. The one or more buckets are created based on factors such as reserved or warm, emotionally stable or reactive, deferential or dominant, and the like. In addition, the one or more buckets are created based on factors such as serious or lively, trusting or vigilant, sensitive or unsentimental, and the like. Also, the one or more buckets are created based on factors such as self-assured or apprehensive, shy or bold, expedient or rule-conscious, private or forthright, abstracted or practical, and the like.
[0047] In an embodiment of the present disclosure, the one or more buckets are used to segregate the user 102 of the one or more users. The one or more users are segregated based on personality characteristics of the one or more users. In an embodiment of the present disclosure, the one or more users are segregated based on verification of one or more attributes of the user data. In an example, the user of the one or more users is segregated in a first bucket of the one or more buckets when more than 90% of attributes of the user data are verified correctly. In another example, the user of the one or more users is segregated in a second bucket of the one or more buckets when more than 80% and less than 90% of attributes of the user data are verified correctly. In yet another example, the user of the one or more users is segregated in a third bucket of the one or more buckets when more than 70% and less than 80% of attributes of the user data are verified correctly.
[0048] The decision making system 108 includes the profile generating module 112. The profile generating module 112 creates the user profile based on the user data, and the one or more set of data. The user profile is created based on analysis and structuring of the user data, and the one or more set of data. The user profile of the user 102 is created in real time. In an example, the decision making system 108 receives the user data from the user 102 in real-time. In addition, the decision making system 108 fetches the one or more set of data from the one or more sources. Further, the user data and the one or more set of data is analyzed and structured on the server 114. The data is analyzed and structured to generate the user profile of the user 102. The user profile is stored in the database 114a. In an embodiment of the present disclosure, the decision making system 108 adds the user 102 in the bucket of the one or more buckets based on analysis of the user profile.
[0049] The decision making system 108 performs the risk analysis of the user 102 based on the rule data and the user profile to generate an eligibility score of the user 102. The eligibility score helps to provide the automated final decision of the one or more decisions for the user 102. The decision making system 108 initiates the risk analysis to provide the automated final decision of the one or more decisions for the user 102. The one or more decisions includes at least one of an accept decision, a reject decision or a recommendation. The decision making system 108 provides the recommendation to the administrator 104. The decision making system 108 provides the recommendation to the user 102. The administrator 116 manually approves the automated final decision of the one or more decisions to improve accuracy of the decision making system 108. The decision making system 108 provides the recommendation to the user 102 to improve accuracy of the automated final decision of the decision making system 108. The risk analysis includes a value of actual risk and a probable risk.
[0050] The decision making system 108 calculates the actual risk and the probable risk of providing the financial asset to the user 102. The term risk analysis determines amount of risk that the user 102 will not be able to return financial asset. The term financial asset determines value of money that may be provided by the decision making system 108 to the user 102. The user 102 is any person who wants a decision from the decision making system 108. In an embodiment of the present disclosure, the decision making system 108 provides the recommendation to the user 102. In another embodiment of the present disclosure, the decision making system 108 provides the recommendation to the administrator 116. In an embodiment of the present disclosure, the decision making system 108 provides the value of the actual risk and the probable risk to the administrator 116. In an embodiment of the present disclosure, the user 102 accepts the recommendation of the decision making system 108. The decision making system 108 repeats complete process to perform the risk analysis of the user 102.
[0051] In addition, the administrator 116 is associated with the decision making system 108. In an embodiment of the present disclosure, the administrator 116 is associated with the decision making system 108 using the computing device 104. In another embodiment of the present disclosure, the administrator 116 is associated with the decision making system 108 using a communication device. In general, communication devices are electronic devices which take inputs, process the inputs and then calculate results from the inputs.
[0052] In an embodiment of the present disclosure, the communication device is a portable communication device. In an example, the portable communication device includes but may not be limited to laptop, smartphone, tablet, PDA and smart watch. In an example, the portable communication device may be an iOS-based smartphone, an Android-based smartphone, a Windows-based smartphone and the like. In another embodiment of the present disclosure, the communication device is a fixed communication device. The fixed communication device includes but may not be limited to desktop, workstation, smart TV and mainframe computer.
[0053] In an embodiment of the present disclosure, the administrator 116 connects the communication device with the decision making system 108 using a network connection. In general, network connection is a digital telecommunication network that allows nodes to share resources. The network connection provides a medium to the communication device to connect to the decision making system 108. Also, the network connection provides network connectivity to the communication device. The network connection connects the communication device to the decision making system 108 using a plurality of connectivity methods. The plurality of connectivity methods used to provide network connectivity to the communication device includes 2G, 3G, 4G, Wifi and the like.
[0054] Further, the interactive computing environment 100 includes the server 114. In an embodiment of the present disclosure, the server 114 is a cloud server. In general, the cloud server possesses and exhibit similar capabilities and functionality to the server 114 but is accessed remotely from a cloud service provider. In an example, the server 114 is similar to a physical server but provides virtual space for handling all the operations.
[0055] Further, the server 114 includes the database 114a. The database 114a provides a storage location for the user data, the user profile, the one or more set of data and information of the user 102 used by the interactive computing environment 100. In an example, the database 114a is associated with the server 114. The server 114 stores data in the database 114a. The server 114 interacts with the database 114a to retrieve the stored data.
[0056] The administrator 116 is associated with the server 114. In an embodiment of the present disclosure, the administrator 116 is associated with the server 114 using the computing device 104. In another embodiment of the present disclosure, the administrator 116 is associated with the server 114 using the communication device. In an embodiment of the present disclosure, the administrator 116 accesses the server 114 using the communication network 106. In another embodiment of the present disclosure, the administrator 116 accesses the server 114 using the network connection.
[0057] In an embodiment of the present disclosure, the decision making system 108 is trained using one or more hardware run-algorithms. The one or more hardware-run algorithms include but may not be limited to machine learning, deep learning, and artificial intelligence. In addition, the decision making system 108 is trained using the user data, the rule data, and the one or more set of data. The decision making system 108 is trained to improve accuracy of the automated final decision provided by the decision making system 108.
[0058] In an embodiment of the present disclosure, the administrator 116 has permission to add or modify the rule data. In an embodiment of the present disclosure, the administrator 116 has permission to add or modify the user data. In another embodiment of the present disclosure, the user 102 has permission to add or modify the user data. In an embodiment of the present disclosure, the administrator 116 has permission to provide the final decision to the user 102.
[0059] In an embodiment of the present disclosure, the one or more buckets have one or more weights associated with the one or more buckets. The one or more weights update in real-time based on personality characteristics of users. The one or more weights help during addition of the user 102 in the bucket of the one or more buckets. In an embodiment of the present disclosure, the administrator 116 has permission to update the one or more buckets. In an embodiment of the present disclosure, the administrator 116 has permission to update the one or more weights of the one or more buckets.
[0060] In an embodiment of the present disclosure, the decision making system 108 utilizes the rule data, the current data, and the one or more set of data to provide the automated final decision to the user 102. In another embodiment of the present disclosure, the decision making system 108 utilizes past decisions to improve accuracy of the automated final decision. In an embodiment of the present disclosure, the decision making system 108 utilizes past decisions of the decision making system 108 to continuously learn in real time using the one or more hardware-run algorithms.
[0061] FIG. 2 illustrates a block diagram of a computing device 200, in accordance with various embodiments of the present disclosure. The computing device 200 includes a bus 202 that directly or indirectly couples the following devices: memory 204, one or more processors 206, one or more presentation components 208, one or more input/output (I/O) ports 210, one or more input/output components 212, and an illustrative power supply 214. The bus 202 represents what may be one or more busses (such as an address bus, data bus, or combination thereof). Although the various blocks of FIG. 2 are shown with lines for the sake of clarity, in reality, delineating various components is not so clear, and metaphorically, the lines would more accurately be grey and fuzzy. For example, one may consider a presentation component such as a display device to be an I/O component. Also, processors have memory. The inventors recognize that such is the nature of the art, and reiterate that the diagram of FIG. 2 is merely illustrative of an exemplary computing device 200 that can be used in connection with one or more embodiments of the present invention. Distinction is not made between such categories as “workstation,” “server,” “laptop,” “hand-held device,” etc., as all are contemplated within the scope of FIG. 2 and reference to “computing device 200.”
[0062] The computing device 200 typically includes a variety of computer-readable media. The computer-readable media can be any available media that can be accessed by the computing device 200 and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, the computer-readable media may comprise computer storage media and communication media. The computer storage media includes volatile and nonvolatile, 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. The computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computing device 200. The communication media typically embodies 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” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of any of the above should also be included within the scope of computer-readable media.
[0063] Memory 204 includes computer-storage media in the form of volatile and/or nonvolatile memory. The memory 204 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard drives, optical-disc drives, etc. The computing device 200 includes one or more processors that read data from various entities such as memory 204 or I/O components 212. The one or more presentation components 208 present data indications to a user or other device. Exemplary presentation components include a display device, speaker, printing component, vibrating component, etc. The one or more I/O ports 210 allow the computing device 200 to be logically coupled to other devices including the one or more I/O components 212, some of which may be built in. Illustrative components include a microphone, joystick, game pad, satellite dish, scanner, printer, wireless device, etc.
[0064] The foregoing descriptions of specific embodiments of the present technology have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present technology to the precise forms disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the present technology and its practical application, to thereby enable others skilled in the art to best utilize the present technology and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstance may suggest or render expedient, but such are intended to cover the application or implementation without departing from the spirit or scope of the claims of the present technology.