Abstract: A method for automatically identifying proficiencies based on an associated set of codes is provided. The method includes retrieving a file that is associated with a user from a repository, the repository including a source code repository; classifying the file based on a corresponding programming language; determining, by using a model, a proficiency attribute of the user based on the file and a result of the classification; identifying a characteristic of the user based on corresponding activity data from the repository; and generating a profile that corresponds to the user based on the proficiency attribute and the characteristic, the profile including a plurality of proficiency attributes that correspond to the user.

Abstract: Systems and methods for collaborative filtering-based audit test scoping are disclosed. In one embodiment, a method for collaborative filtering-based audit test scoping may include: (1) receiving, by a proactive audit computer program, an identification of a Process Audit Universe Items (PAUI) of interest; (2) retrieving, by the proactive audit computer program, historical audit data for a plurality of PAUIs; (3) implicitly grouping, by the proactive audit computer program, the plurality of PAUIs into a plurality of implicit PAUI groupings; (4) applying, by the proactive audit computer program, natural language processing to the PAUI of interest to identify a similar implicit PAUI grouping; (5) ranking, by the proactive audit computer program, risks and controls for the similar implicit PAUI groupings; and (6) outputting, by the proactive audit computer program, the ranked risks and controls for the similar implicit PAUI groupings.

Abstract: A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.

Abstract: A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.

Abstract: A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.

Abstract: A device may receive image data representing a document, the document including: text, and edges. Based on the edges, the device may identify, a segment of interest within the image data and crop the segment of interest to obtain a portion of the image data. In addition, the device may perform optical character recognition on the portion of the image data, the optical character recognition producing recognized text. The device may obtain, based on the recognized text, validation data that includes verification text, and determine whether the recognized text is verified based on the verification text. Based on a result of the determination, the device may perform an action.