Abstract: Disclosed embodiments may include a system for identifying a statement. This may include receiving document image data which is then processed using optical character recognition to create language data and position data. The system may include identifying a plurality of dates from the language data and determining whether the plurality of dates is aligned in a first direction using the position data. The system may include determining whether the plurality of dates is within a predetermined time threshold or counting the plurality of dates to determine whether the count is greater than a predetermined count threshold. The system may create a label for the document and generate and transmit a graphical user interface to a user device for displaying the label and/or the document image data. The user may be able to interact with the user device to change the document label.

Abstract: In some implementations, a code review system may identify a set of open code review requests that are each associated with a respective proposed change to source code stored in a code repository. The code review system may assign a respective priority to each open code review request, in the set of open code review requests, according to a respective set of attributes associated with each open code review request. The code review system may receive, from a reviewer device, a request to perform a code review workflow for an open code review request. The code review system may select an open code review request, in the set of open code review requests, associated with a highest priority. The code review system may manage the code review workflow for the open code associated with the highest priority.

Abstract: In some implementations, a system may obtain information associated with indicators related to fraudulent or illicit activity in P2P transactions. The system may receive, from a first user device, a request for a P2P transaction. The system may analyze textual information related to the P2P transaction using natural language processing (NLP) to determine whether the P2P transaction includes one or more of the indicators related to fraudulent or illicit activity. The system may process the request for the P2P transaction in accordance with whether the P2P transaction includes one or more of the indicators related to fraudulent or illicit activity. For example, the system may trigger a remediation action based on the textual information including indicators related to fraudulent or illicit activity, or may process the P2P transaction based on the textual information lacking indicators related to fraudulent or illicit activity or including indicators of legitimate activity.

Abstract: In some implementations, a fault diagnosis system may track information associated with a first execution of a code pipeline to deploy an updated version of software associated with the code pipeline. The fault diagnosis system may receive an indication of a failure in a second execution of the code pipeline, wherein the second execution of the code pipeline is triggered by a commit of source code to a source code repository. The fault diagnosis system may determine whether the updated version of the software associated with the code pipeline or the source code committed to the source code repository is a cause of the failure in the second execution of the code pipeline. The fault diagnosis system may send a request to plan code development to resolve the cause of the failure in the second execution of the code pipeline.

Abstract: A computer-implemented method is disclosed. The method may include identifying, via a browser extension associated with a first entity and based on content scraped from a portal associated with a second entity different from the first entity, a data requirement associated with an individual for an interaction. The portal may be output on a display of a user device of a third entity different than the first and second entities. The method may include verifying, via the browser extension and by accessing a system associated with the first entity, whether a data element associated with the individual satisfies the data requirement. The method may further include causing, via the browser extension, the display of the user device to output a first visual indication of a result of the verifying.

Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Abstract: Disclosed embodiments may include a system for measuring document legibility. The system may automatically receive document image data from a user device. The system may then process the image data using optical character recognition to create language data containing a plurality of words. The system may then obtain an overall number by counting the plurality of words in the language data. The system may then identify and count the common words within the plurality of words by comparing the plurality of words to words in a database. A score may be obtained by dividing the common word number by the overall number. The score may then be compared to a legibility threshold. If the score is below the threshold, the system may determine the document is illegible. If the score is above the threshold, the system may determine the document is legible.

Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Abstract: Disclosed embodiments may include a system for measuring document legibility. The system may automatically receive document image data from a user device. The system may then process the image data using optical character recognition to create language data containing a plurality of words. The system may then obtain an overall number by counting the plurality of words in the language data. The system may then identify and count the common words within the plurality of words by comparing the plurality of words to words in a database. A score may be obtained by dividing the common word number by the overall number. The score may then be compared to a legibility threshold. If the score is below the threshold, the system may determine the document is illegible. If the score is above the threshold, the system may determine the document is legible.

Abstract: Disclosed embodiments may include a method for dynamically generating preapproval data.

Abstract: A system may iteratively scan a portion of a document, extract first data from the portion of the document, and determine, using a trained model, whether the first data corresponds to one or more document types based on one or more confidence thresholds. The system may repeat this process, increasing the portion of the document scanned by a predetermined amount each iteration, until the first data corresponds to the one or more document types based on the one or more confidence thresholds. Responsive to determining the first data corresponds to the one or more document types based on the one or more confidence thresholds, the system may cause a graphical user interface (GUI) of a user device to display a notification indicating a document type match.

Abstract: Disclosed embodiments may include a system for measuring document legibility. The system may automatically receive document image data from a user device. The system may then process the image data using optical character recognition to create language data containing a plurality of words. The system may then obtain an overall number by counting the plurality of words in the language data. The system may then identify and count the common words within the plurality of words by comparing the plurality of words to words in a database. A score may be obtained by dividing the common word number by the overall number. The score may then be compared to a legibility threshold. If the score is below the threshold, the system may determine the document is illegible. If the score is above the threshold, the system may determine the document is legible.

Abstract: Disclosed embodiments may include a system for identifying a statement. This may include receiving document image data which is then processed using optical character recognition to create language data and position data. The system may include identifying a plurality of dates from the language data and determining whether the plurality of dates is aligned in a first direction using the position data. The system may include determining whether the plurality of dates is within a predetermined time threshold or counting the plurality of dates to determine whether the count is greater than a predetermined count threshold. The system may create a label for the document and generate and transmit a graphical user interface to a user device for displaying the label and/or the document image data. The user may be able to interact with the user device to change the document label.

Abstract: Disclosed embodiments may include a system for measuring document legibility. The system may automatically receive document image data from a user device. The system may then process the image data using optical character recognition to create language data containing a plurality of words. The system may then obtain an overall number by counting the plurality of words in the language data. The system may then identify and count the common words within the plurality of words by comparing the plurality of words to words in a database. A score may be obtained by dividing the common word number by the overall number. The score may then be compared to a legibility threshold. If the score is below the threshold, the system may determine the document is illegible. If the score is above the threshold, the system may determine the document is legible.

Abstract: A system may iteratively scan a portion of a document, extract first data from the portion of the document, and determine, using a trained model, whether the first data corresponds to one or more document types based on one or more confidence thresholds. The system may repeat this process, increasing the portion of the document scanned by a predetermined amount each iteration, until the first data corresponds to the one or more document types based on the one or more confidence thresholds. Responsive to determining the first data corresponds to the one or more document types based on the one or more confidence thresholds, the system may cause a graphical user interface (GUI) of a user device to display a notification indicating a document type match.

Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Abstract: A system may iteratively scan a portion of a document, extract first data from the portion of the document, and determine, using a trained model, whether the first data corresponds to one or more document types based on one or more confidence thresholds. The system may repeat this process, increasing the portion of the document scanned by a predetermined amount each iteration, until the first data corresponds to the one or more document types based on the one or more confidence thresholds. Responsive to determining the first data corresponds to the one or more document types based on the one or more confidence thresholds, the system may cause a graphical user interface (GUI) of a user device to display a notification indicating a document type match.

Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.