Patents by Inventor Veresh Jain

Veresh Jain has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240233427
    Abstract: Method includes obtaining historical document images including text that correspond to different document classes; and generating a dictionary using text of the historical document images. The dictionary includes base words occurring with a greatest frequency in each document class. The base words are extracted from the text of the historical document images and arranged in datasets by a document class, where each dataset includes the base words of a same document class that occur with the greatest frequency within that document class. Trie structure is generated using the base words of the datasets that occur with a greatest frequency in each dataset. The trie structure includes internal nodes including root node and leaf nodes in which keys corresponding to the base words occurring with the greatest frequency in each dataset are respectively stored in predefined order. The trie structure is searchable in the predefined order starting with the root node.
    Type: Application
    Filed: January 11, 2023
    Publication date: July 11, 2024
    Applicant: Oracle Financial Services Software Limited
    Inventors: Dakshayani Singaraju, Krishna Sameera Ellendula, Veresh Jain
  • Patent number: 12002091
    Abstract: According to an aspect, a technology system maintains an account data specifying the details of multiple accounts including a specific set of accounts as being delinquent. Upon receiving a feature set to be used, the system clusters the multiple accounts into groups based on the feature set. The system generates a multi-classification model for assignment of agents to the accounts based on the group qualifiers associated with the groups and the feature set. The system then identifies a target group likely to present problems with debt collection, assigns, using the multi-classification model, a corresponding agent for each account of the group and determines a recommended recovery strategy for each assignment. The system provides the details of the group, the corresponding agents assigned and the recommended recovery strategy for each assignment.
    Type: Grant
    Filed: April 13, 2022
    Date of Patent: June 4, 2024
    Assignee: Oracle Financial Services Software Limited
    Inventors: Rahul Yadav, Veresh Jain, Shubham Negi, Rahul Kiran Gaddam, Phanindra Choda
  • Publication number: 20240168979
    Abstract: Systems, methods, and other embodiments associated with converting a static cluster data table to a graphical hierarchical tree are described. In one embodiment, a method includes recursively traversing the static cluster data table to identify a root cluster, identify child clusters from the root cluster and child clusters from each other that define parent-child relationships, and identify decision segments that caused a segment split of cluster data. A 2-dimensional visual hierarchy is generated and displayed in a graphical form using a plurality of nodes that represent the root cluster and the child clusters along with path lines that connect the nodes. The 2-dimensional visual hierarchy displays a hierarchical visualization of the static cluster data table that shows an order of decision segments that occurred to segment a dataset and how the dataset was segmented by a clustering algorithm leading to a final cluster of a leaf node.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 23, 2024
    Inventors: Abhishek ANAND, Shubham NEGI, Rahul YADAV, Veresh JAIN
  • Publication number: 20240169216
    Abstract: A method includes generating dataset using topics associated with historical records, the dataset including pairs of data that are formed based on the topics, each of the pairs of data including an antecedent topic associated with a historical record corresponding to a preceding event and a consequent topic associated with a historical record corresponding to an event that occurred after the preceding event, the antecedent topic and the consequent topic forming a transitive relation for each of the pairs of data; inputting, into ML model, the pairs of data and input topic associated with a record of a user; generating, by the ML model, a prediction of a next record topic for a next record corresponding to the user, based on the consequent topic included in each of the pairs of data that include the antecedent topic corresponding to the input topic; and outputting the prediction.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 23, 2024
    Applicant: Oracle Financial Services Software Limited
    Inventors: Utkarsh Hemant Kumar Sharma, Rahul Yadav, Veresh Jain, Sharoon Saxena
  • Publication number: 20240169147
    Abstract: A computer-implemented method includes: obtaining a record including text narration; inputting the text narration into an NLP model; generating, by the NLP model, encoded narration based on the text narration; determining similarity index between the encoded narration and each of encoded reference topics; comparing the similarity index between the encoded narration and each encoded reference topic to similarity threshold; and determining whether the similarity index between the encoded narration and each encoded reference topic is equal to or greater than the similarity threshold. When the similarity index is equal to or greater than the similarity threshold, a corresponding reference topic is added to a result group, and, when the similarity index is less than the similarity threshold, the corresponding reference topic is left out of the result group.
    Type: Application
    Filed: November 17, 2022
    Publication date: May 23, 2024
    Applicant: Oracle Financial Services Software Limited
    Inventors: Utkarsh Hemant Kumar Sharma, Rahul Yadav, Veresh Jain, Sharoon Saxena
  • Patent number: 11961317
    Abstract: Aspects of the present disclosure are directed to extracting textual information from image documents. In one embodiment, a system, upon receiving a request to extract textual information from an image document, a digital processing system performs character recognition based on content of the image document using multiple approaches to generate corresponding texts. The texts are then combined to determine a result text representing the textual information contained in the image document. The result is then provided as a response to the request.
    Type: Grant
    Filed: February 10, 2022
    Date of Patent: April 16, 2024
    Assignee: Oracle Financial Services Software Limited
    Inventors: Dakshayani Singaraju, Veresh Jain, Kartik Kumar
  • Publication number: 20240054803
    Abstract: Systems, methods, and other embodiments associated with identifying a document type of an unidentified document based on image features are described. In one embodiment, image pairs are formed by pairing the unidentified document with anchor images from a plurality of anchor images, wherein each anchor image is a known document type. For each image pair, first visual features are extracted from the unidentified document and second visual features are extracted from the paired anchor image. A similarity function is applied to compare the first visual features and the second visual features, and a similarity score is generated for each image pair based on the comparing. The most similar anchor image from the image pairs, which has a greatest similarity score, is identified. The document type of the unidentified document is then predicted as the known document type associated with the most similar anchor image.
    Type: Application
    Filed: August 15, 2022
    Publication date: February 15, 2024
    Inventors: Shubham NEGI, Krishna Sameera ELLENDULA, Rahul YADAV, Veresh JAIN
  • Publication number: 20230419130
    Abstract: Systems, methods, and other embodiments associated with a data quality framework for a machine learning pipeline are described. In one embodiment, a method includes receiving an input dataset prior to training a machine learning model with the input dataset. The input dataset, having data records in column tabular form, is analyzed to determine a data quality of the input dataset prior to training the machine learning model. A data quality score is generated that represents an overall quality of the input dataset, where the data quality score is generated based on a combined ensemble of at least two factors selected from (i) an abundance factor, (ii) a completeness factor, and (iii) a dimension efficiency factor. Based on the data quality score, the input dataset is either permitted or prohibited from continuing in the machine learning pipeline, and corrective actions may be performed.
    Type: Application
    Filed: June 28, 2022
    Publication date: December 28, 2023
    Inventors: Sharoon SAXENA, Veresh JAIN, Rahul YADAV
  • Patent number: 11837004
    Abstract: Method includes generating a base model by training a pretrained model using a base training dataset including first training datapoints identifying tables in historical document images that include the tables and text, where the generated base model is configured to extract the tables as objects; and generating a table extraction model by training the base model using an enhanced training dataset including second training datapoints that are different from the first training datapoints and identify a plurality of cells disposed in each of the tables in a row direction and a column direction. The table extraction model is trained to output content of the tables and table information in an XML format, the table information including cell level information of the plurality of cells that is searchable via a query configured to provide target content that corresponds to one or more cells.
    Type: Grant
    Filed: February 24, 2023
    Date of Patent: December 5, 2023
    Assignee: Oracle Financial Services Software Limited
    Inventors: Shivam Agrahari, Dakshayani Singaraju, Veresh Jain
  • Publication number: 20230196420
    Abstract: A bill verification system for verifying bill records associated with an entity account is disclosed. The system receives a request to verify a bill record associated with an entity account. The system identifies a bill level model to be used for verifying the bill record and detects based on the bill level model, bill level anomaly information for the bill record. The system additionally identifies a bill line level model to be used for verifying one or more bill lines in the bill record and detects based on the bill line level model, bill line level anomaly information for the bill record. The system then aggregates the bill level anomaly information and the bill line level anomaly information to generate a bill verification report for the bill record. The system provides the bill verification report as a response to the request received to verify the bill record.
    Type: Application
    Filed: March 31, 2022
    Publication date: June 22, 2023
    Applicants: Oracle International Corporation, Oracle Financial Services Software Limited
    Inventors: Rahul Yadav, Nidhi Rajput, Veresh Jain, Krishnapriya Jaya Radhakrishnan, Amit Omprakash Rathi, Saroj Jasmine Merwana, Aashima Sethi
  • Publication number: 20230177602
    Abstract: According to an aspect, a technology system maintains an account data specifying the details of multiple accounts including a specific set of accounts as being delinquent. Upon receiving a feature set to be used, the system clusters the multiple accounts into groups based on the feature set. The system generates a multi-classification model for assignment of agents to the accounts based on the group qualifiers associated with the groups and the feature set. The system then identifies a target group likely to present problems with debt collection, assigns, using the multi-classification model, a corresponding agent for each account of the group and determines a recommended recovery strategy for each assignment. The system provides the details of the group, the corresponding agents assigned and the recommended recovery strategy for each assignment.
    Type: Application
    Filed: April 13, 2022
    Publication date: June 8, 2023
    Inventors: Rahul Yadav, Veresh Jain, Shubham Negi, Rahul Kiran Gaddam, Phanindra Choda