Patents by Inventor Pramod Nanadikar

Pramod Nanadikar 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).

  • Patent number: 11069108
    Abstract: A system and method to create an intelligent cartoon comic strip based on the dynamic content. Herein, the input is conversation-based text or speech files. The system identifies scenes, objects, sequence and flow for generating the comic strip along with gender of characters appearing in the entire conversation. Text is analyzed to create the situational based background image for the scenes that needs to be rendered. Emotion and placement of characters in the scene is decided by the NLP algorithms along with voice emotional and sentimental analysis. Characters are placed in plain canvas and then text dialog is embedded into corresponding text bubbles. Once this image is obtained, it is overlaid on top of the background based on the context. Further, the scenes are joined into a strip of images in a pattern, which depends on the number, and order of scenes, which is decided, based on the input.
    Type: Grant
    Filed: March 9, 2020
    Date of Patent: July 20, 2021
    Assignee: Tata Consultancy Services Limited
    Inventors: Robin Tommy, Anita Pramod Nanadikar, Anil Kumar Sharma, Aswathy Sreelekha Krishna, Rinu Michael, Mridul Sharma, Akhil Guthula, Gireesh Venkataraghavendra Bandlamudi, Sayan Das, Navin Infant Raj
  • Publication number: 20210125389
    Abstract: A system and method to create an intelligent cartoon comic strip based on the dynamic content. Herein, the input is conversation-based text or speech files. The system identifies scenes, objects, sequence and flow for generating the comic strip along with gender of characters appearing in the entire conversation. Text is analyzed to create the situational based background image for the scenes that needs to be rendered. Emotion and placement of characters in the scene is decided by the NLP algorithms along with voice emotional and sentimental analysis. Characters are placed in plain canvas and then text dialog is embedded into corresponding text bubbles. Once this image is obtained, it is overlaid on top of the background based on the context. Further, the scenes are joined into a strip of images in a pattern, which depends on the number, and order of scenes, which is decided, based on the input.
    Type: Application
    Filed: March 9, 2020
    Publication date: April 29, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Robin TOMMY, Anita Pramod NANADIKAR, Anil Kumar SHARMA, Aswathy Sreelekha KRISHNA, Rinu MICHAEL, Mridul SHARMA, Akhil GUTHULA, Gireesh Venkataraghavendra BANDLAMUDI, Sayan DAS, Navin Infant RAJ
  • Patent number: 10146587
    Abstract: A system for allocating resources to demand requests is set forth. The system is configured to identify a set of resource requirements based on a demand request. The system is also configured to choose a resource that satisfies at least one of the identified resource requirements. The system is further configured to allocate the selected resource to the demand request based on whether a client can satisfy a locking prerequisite associated with the selected resource.
    Type: Grant
    Filed: June 5, 2015
    Date of Patent: December 4, 2018
    Assignee: Accenture Global Services Limited
    Inventors: Ramanathan Venkataraman, Pramod Nanadikar, Badrinarayanan Vasudevan, Nandita Kshirsagar, Priya Joshi
  • Publication number: 20150269003
    Abstract: A system for allocating resources to demand requests is set forth. The system is configured to identify a set of resource requirements based on a demand request. The system is also configured to choose a resource that satisfies at least one of the identified resource requirements. The system is further configured to allocate the selected resource to the demand request based on whether a client can satisfy a locking prerequisite associated with the selected resource.
    Type: Application
    Filed: June 5, 2015
    Publication date: September 24, 2015
    Inventors: Ramanathan Venkataraman, Pramod Nanadikar, Badrinarayanan Vasudevan, Nandita Kshirsagar, Priya Joshi
  • Publication number: 20080052397
    Abstract: A system for allocating resources to demand requests is set forth. The system is configured to identify a set of resource requirements based on a demand request. The system is also configured to choose a resource that satisfies at least one of the identified resource requirements. The system is further configured to allocate the selected resource to the demand request based on whether a client can satisfy a locking prerequisite associated with the selected resource.
    Type: Application
    Filed: March 13, 2007
    Publication date: February 28, 2008
    Inventors: Ramanathan Venkataraman, Pramod Nanadikar, Badrinarayanan Vasudevan, Nandita Kshirsagar, Priya Joshi
  • Patent number: 7334223
    Abstract: Method for automatically migrating power builder application to an open architecture is disclosed. The method includes converting to ASCII character format stream, parsing the stream to form constructs, generating a model from the constructs, analyzing the model and building trees in the model in the power builder format. The apparatus of the invention includes a schema of trees, one set, representing trees in the power builder format and another set in the selected open architecture format and a set of mappings defining correspondence between the two sets. Trees in one set are transformed into the other and attached in the model. An Unparser is provided having a class generator which generates classes including a global variable class in the open architecture and the classes are filled with the help of the parser and a model traverser by querying and responses thereto.
    Type: Grant
    Filed: January 18, 2005
    Date of Patent: February 19, 2008
    Assignee: Tata Consultancy Services, Ltd.
    Inventors: Shrawan Kumar, Arun Gajanan Bahulkar, Anita Pramod Nanadikar, Pavan Sabharwal