Bank of America Corporation

Sriram Balasubramanian

Udaya Kumar Raju Ratnakaram

Sandeep Kumar Chauhan

Kalyan Chakravarthy Pallapolu

Aspects of the disclosure relate to an IoT (Internet of Things) enabled device that initiates online or offline payment requests. In some arrangements, the IoT payment device may be managed through a central dashboard available via a stationary computing device or mobile device. In an embodiment, an IoT payment device may provide real-time updates that include data such as device function, alerts on maintenance needs, and direct contact with the service provider for any requests related to the IoT devices.

IoT-enabled digital payments

Systems, computer program products, and methods are described herein for enhanced authentication framework using multi-dimensional hashing. The present invention is configured to electronically receive, from a computing device of a user, a resource transfer request; retrieve, from an authentication database, a multi-dimensional hash for a first set of data files for the user and a user identification artifact; retrieve, from the computing device of the user, a second set of data files matching the user identification artifact; initiate an asynchronous hash processing engine on the second set of data files; generate, using the asynchronous hash processing engine, a multi-dimensional hash for the second set of data files; compare the multi-dimensional hash for the first set of data files with the multi-dimensional hash for the second set of data files to determine a match; and authorize the resource transfer request based on at least determining the match.

Enhanced authentication framework using multi-dimensional hashing

A memory stores an environment file. A hardware processor receives a video file comprising a first frame and a second frame. The hardware processor determines a first object in the first frame and a first user action performed in the first frame. The hardware processor determines a second object in the second frame and a second user action performed in the second frame. The hardware processor determines a first keyword for the first user action and a second keyword for the second user action. The hardware processor determines, based on the first and second keywords, a first script and a second script from the environment file. The hardware processor then combines the first script and the second script to generate an automation script that, when executed, performs the first user action on the first object and the second user action on the second object.

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Chennai, India

Sriram Balasubramanian