Bank of America Corporation

Ravindran Padmanaban

Madhusudhanan Krishnamoorthy

Shilpi Choudhari

Nagar P Varadarajan

Kumar Amit Dwary

Neeraj Kumar Choudhary

Srinivasan Selvaraj

A system for increasing a resolution of a three-dimension (3D) image determines contours of a 3D image. The system determines a mesh image vector, where the mesh image vector indicates location coordinates of feature points on a surface of an object in the 3D image. The system compares the mesh image vector with each contour. The system determines an intersecting feature point where the mesh image vector meets a contour. The system determines that a baseline dataset includes a first feature point that corresponds to the intersecting feature point. In response, the system generates a structural vector by populating the structural vector with the intersecting feature point. The system determines a color code associated with the intersecting feature point and generates a textural vector by populating the textural vector with the color code. The system generates an image vector by combining the structural vector and the textural vector.

System and method for increasing a resolution of a three-dimension (3D) image

Systems, computer program products, and methods are described herein for implementing auto didactic content generation using reinforcement learning. The present invention is configured to retrieve a user interaction portfolio of a user associated with a completion of a first task; determine requirements associated with the first task; determine an interaction score associated with the user; determine a target interaction score associated with the first task; determine that the interaction score associated with the user is less than the target interaction score; electronically receive, from a knowledge repository, a first video file demonstrating the one or more interaction requirements; generate a modified first video file; and transmit control signals configured to cause a computing device of the user to display the modified first video file to the user.

System for implementing auto didactic content generation using reinforcement learning

Systems, computer program products, and methods are described herein implementing content retrofitting using information vectorization. The present invention is configured to retrieve a user interaction portfolio of a user associated with a completion of a first task; determine requirements associated with the first task; determine an interaction score associated with the user; determine a target interaction score associated with the first task; determine that the interaction score associated with the user is greater than the target interaction score associated with the first task; generate one or more second image frames based on at least the one of the one or more user interactions that did not meet the one or more interaction requirements; generate at least one modified video file based on at least the one or more second image frames; and store the at least one modified video file in a knowledge repository.

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Chennai, India

Ravindran Padmanaban