Assigning a money sign to a user

1. A method implemented by a system for assigning a money sign to a user, the method comprising:

receiving, by a processor, a request to identify a money sign for a user through a selection of a user control on an interface of a system;

rendering, by the processor, a set of questions on the interface for the user to answer;

receiving, by the processor, a set of answers from the user, wherein the set of answers is received on the interface;

extracting, by the processor, a key component for each of the set of answers received from the user based on a machine learning model, wherein the key component is correlated to a set of facets;

scoring, by the processor, the key component for each of the set of answers based on a scoring matrix and deep learning algorithms;

comparing, by the processor, a user score for each of the key component against a facet score for each of a set of predefined money signs, wherein the predefined money sign represents a certain psychological profile,

and a financial personality;

generating, by the processor, a match score for each of the set of predefined money signs upon comparing the user score and the facet score; and

assigning, by the processor, the money sign identified with a maximum match score to the user.

2. The method as claimed in claim 1 , further comprising:

creating, by the processor, a user profile based on the money sign with the maximum match score, wherein the user profile is unique to the user;

monitoring, by the processor, the user profile for any change in a financial status, a demographic information of the user; and

validating, by the processor, the money sign of the user at predetermined time intervals where in the validation is dependent on any change in the financial status, and the demographic information of the user.

3. The method as claimed in claim 1 , wherein when the maximum match score is same for more than one money sign, the scoring is repeated by the deep learning algorithms until a single money sign is identified with the maximum match score.

4. The method as claimed in claim 1 , wherein the set of money signs is devised using a historic data, a behavioral analysis, and a financial analysis, and wherein the scoring matrix for each money sign is distinctive and specific to each of the set of money signs, and wherein the scoring matrix of each money sign is validated using a test data for a test set of users.

5. The method as claimed in claim 1 , wherein the set of answers is received from the user in an audio format, a textual format, an image format, and a video format, and wherein the audio format, the image format, and the video format are converted to a structured data format before extracting the key component from the set of answers.

6. A system for assigning a money sign to a user, the system compromising: a memory; and

a processor coupled to the memory, wherein the processor

is configured to execute program instructions stored in the memory for:

receiving a request to identify a money sign for a user through a selection of a user control on an interface;

rendering a set of questions on the interface for the user to answer;

receiving a set of answers from the user, wherein the set of answers is received on the interface;

extracting a key component for each of the set of answers received from the user based on a machine learning model, wherein the key component is correlated to a set of facets;

scoring the key component for each of the set of answers based on a scoring matrix and deep learning algorithms;

comparing a user score for each of the key component against a facet score for each of a set of predefined money signs, wherein the predefined money sign represents a certain psychological profile, and a financial personality;

generating a match score for each of the set of predefined money signs upon comparing the user score and the facet score; and

assigning the money sign identified with a maximum match score to the user.

7. The system as claimed in claim 6 , further comprising:

creating a user profile based on the money sign with the maximum match score, wherein the user profile is unique to the user;

monitoring the user profile for any change in a financial status, a demographic information of the user; and

validating the money sign of the user at predetermined time intervals wherein the validation is dependent on any change in the financial status, and the demographic information of the user.

8. The system as claimed in claim 6 , wherein the set of money sign is devised using a historic data, a behavioral analysis, and a financial analysis, and wherein the scoring matrix for each money sign is distinctive and specific to each of the money sign, and wherein the score matrix of each money sign is validated using a test data for a test set of users.

9. The system as claimed in claim 6 , wherein the set of answer received from the user in an audio format, a textual format, an image format, and a video format, and wherein the audio format, the image format, and the video format are converted to a structured data format before extracting the key component from the set of answer.

10. A non-transitory computer program product having embodied thereon a computer program for assigning a money sign to a user, the computer program product storing instructions, the instructions comprising instructions for:

receiving a request to identify a money sign for a user through a selection of a user control on an interface;

rendering a set of questions on the interface for the user to answer;

receiving a set of answers from the user, wherein the set of answers is received on the interface;

extracting a key component for each of the set of answers received from the user based on a machine learning model, wherein the key component is correlated to a set of facets;

scoring the key component for each of the set of answers based on a scoring matrix and deep learning algorithms;

comparing a user score for each of the key component against a facet score for each of a set of predefined money signs, wherein the predefined money sign represents a certain psychological profile, and a financial personality;

generating a match score for each of the set of predefined money signs upon comparing the user score and the facet score; and

assigning the money sign identified with a maximum match score to the user.