Abstract: Embodiments provide methods, and systems for facilitating a payment transaction utilizing a pre-defined radio frequency allocated by an agency to a merchant. A user may open an application provided and maintained by a payment network on a user device and input the pre-defined radio frequency associated with the merchant. The payment network server is configured to establish a secure radio frequency connection between the user device and a merchant server of the merchant. Post establishment, the user may proceed to make a payment transaction to the merchant by choosing a payment method and authenticating his/her identity. The payment transaction is authorized by an issuer of the payment account and is forwarded to the payment network server. The payment network server is configured to fetch acquirer information of the merchant account and process the payment. Post completion, a confirmation message is sent to the user device over the secure RF connection.

Abstract: The present disclosure provides a method and system for authentication of one or more identification documents for detecting potential variations in real-time. The system receives a user data from one or more users with facilitation of one or more communication devices in real-time. The system obtains the one or more identification documents associated with the one or more users with facilitation of the one or more communication devices in one or more forms. In addition, the system authenticates each of the one or more identification documents associated with the corresponding user of the one or more users. Further, the system detects potential variations in the one or more identification documents based on heat map analysis with facilitation of one or more hardware run-algorithms. Furthermore, the system alerts one or more organizations for potential fraud based on the heat map analysis.

Abstract: The present disclosure provides a method and system for automated analysis of human behavior. The automated analysis of human behavior is performed to determine fraudulent behavior. The system collects a technical data and a video data from one or more data sources and one or more video sources. In addition, the system trains a fraudulent behavior detection system with the collected technical data and the video data in real-time. Further, the system receives a live video stream data from the one or more video sources. Furthermore, the system analyzes the live video stream data received from the one or more video sources installed at the facility in real-time. Moreover, the system predicts likelihood of fraudulent behavior of humans based on analyzation of the live video stream data. Also, the system performs prediction to alarm concerned authorities of the facility about likelihood of fraudulent behavior.

Abstract: The present disclosure provides a generic onboarding system, which performs a method for configuring user onboarding in a financial organization. The generic onboarding system enables the financial organization to select a set of rules from a plurality of rules. In addition, the generic onboarding system receives the set of rules associated with the financial organization. Further, the generic onboarding system enables automation of onboarding process for the user on the platform associated with the financial organization. Furthermore, the generic onboarding system performs a set of actions by a decision engine. Moreover, the generic onboarding system renders a decision taken by the decision engine for onboarding the user on the platform associated with the financial organization.

Abstract: The present disclosure provides a financial process automation system, which performs a method for providing robotic process automation for a financial organization. The method focuses on receiving one or more user documents associated with a user. The one or more user documents are identification documents associated with the user. In addition, the method focuses on classifying each of the one or more user documents in a set of documents. The financial process automation system classifies each of the one or more user documents based on type of financial service requested by the financial organization. Further, the method focuses on detecting one or more form fields in each of the one or more user documents. Furthermore, the method focuses on performing training of the financial process automation system. Moreover, the method focuses on creating custom implementation of the financial process automation system.

Abstract: The present disclosure provides a computer-implemented method and system for onboarding users for financial institutions using virtual reality and augmented reality. The computer-implemented method and system corresponds to a visualization based onboarding system. The visualization based onboarding system collects a first set of data. The visualization based onboarding system obtains a second set of data. The visualization based onboarding system receives a third set of data. The visualization based onboarding system maps the first set of data associated with one or more institution environment essentials, the second set of data associated with a plurality of architectural information, and the third set of data associated with a plurality of financial services. The visualization based onboarding system creates a virtual reality and augmented reality model.

Abstract: The present disclosure provides a method and system for creating one or more hashes for a user. The method includes a first step to collect biometric information associated with the user. The method includes another step to create one or more hashes based on the biometric information associated with the user. The method includes another step to scan the biometric information associated the user. The method includes another step to map the biometric information associated with the user scanned in real-time with the collected biometric information associated with the user. The method includes another step to authenticate the user in real-time.

Abstract: The present disclosure provides a method and system for automated user authentication based on video and audio feed in real-time. The system receives a user data from one or more users. In addition, the system analysis the user data. Further, the system matches lips movement of the one or more users for given text or phrase. Furthermore, the system syncs audio feed with video feed of the one or more users. Moreover, the system receives a response to captcha given to the one or more users. Also, the system performs facial matching of the one or more users based on the user data. Also, the system detects original user from the one or more users. Also, the system sends an outcome of the detected original user from the one or more users to one or more financial technology organizations.

Abstract: The present disclosure provides a method and system for automated analysis of human behavior. The automated analysis of human behavior is performed to determine fraudulent behavior. The system collects a technical data and a video data from one or more data sources and one or more video sources. In addition, the system trains a fraudulent behavior detection system with the collected technical data and the video data in real-time. Further, the system receives a live video stream data from the one or more video sources. Furthermore, the system analyzes the live video stream data received from the one or more video sources installed at the facility in real-time. Moreover, the system predicts likelihood of fraudulent behavior of humans based on analyzation of the live video stream data. Also, the system performs prediction to alarm concerned authorities of the facility about likelihood of fraudulent behavior.

Abstract: The present disclosure provides a computer-implemented method and system for onboarding users for financial institutions using virtual reality and augmented reality. The computer-implemented method and system corresponds to a visualization based onboarding system. The visualization based onboarding system collects a first set of data. The visualization based onboarding system obtains a second set of data. The visualization based onboarding system receives a third set of data. The visualization based onboarding system maps the first set of data associated with one or more institution environment essentials, the second set of data associated with a plurality of architectural information, and the third set of data associated with a plurality of financial services. The visualization based onboarding system creates a virtual reality and augmented reality model.

Abstract: The present disclosure provides a method and system for authentication of one or more identification documents for detecting potential variations in real-time. The system receives a user data from one or more users with facilitation of one or more communication devices in real-time. The system obtains the one or more identification documents associated with the one or more users with facilitation of the one or more communication devices in one or more forms. In addition, the system authenticates each of the one or more identification documents associated with the corresponding user of the one or more users. Further, the system detects potential variations in the one or more identification documents based on heat map analysis with facilitation of one or more hardware run-algorithms. Furthermore, the system alerts one or more organizations for potential fraud based on the heat map analysis.

Abstract: The present disclosure provides a method and system for onboarding a customer digitally for providing one or more solutions in real-time. The method focuses on receiving a first set of data associated with the customer. In addition, the method focuses on fetching one or more information available in the first set of data associated with the customer. Further, the method focuses on analyzing the first set of data associated with the customer in real-time. Furthermore, the analysis of the first set of data associated with the customer is performed based on one or more parameters. Moreover, the method focuses on authenticating the first set of data associated with the customer. Also, the authentication of the first set of data associated with the customer is performed based on combination of one or more pre-defined set of rules associated with a decision engine. Also, the method focuses on onboarding the customer digitally.