Patents by Inventor Vrajesh Navinchandra Sejpal

Vrajesh Navinchandra Sejpal 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: 11960914
    Abstract: Provided are methods and systems for suggesting an enhanced multimodal interaction. The method for suggesting at least one modality of interaction, includes: identifying, by an electronic device, initiation of an interaction by a user with a first device using a first modality; detecting, by the electronic device, an intent of the user and a state of the user based on the identified initiated interaction; determining, by the electronic device, at least one of a second modality and at least one second device, to continue the initiated interaction, based on the detected intent of the user and the detected state of the user; and providing, by the electronic device, a suggestion to the user to continue the interaction with the first device using the determined second modality, by indicating the second modality on the first device or the at least one second device.
    Type: Grant
    Filed: March 28, 2023
    Date of Patent: April 16, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Praveen Kumar Guvvakallu Sivamoorthy, Mayank Kumar Tyagi, Navin N, Aravindh N, Sanofer H, Sudip Roy, Arjun Janardhanan Kappatan, Lalith Satya Vara Prasad Medeti, Vrajesh Navinchandra Sejpal, Saumitri Choudhury
  • Patent number: 11862157
    Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.
    Type: Grant
    Filed: July 2, 2021
    Date of Patent: January 2, 2024
    Assignee: ConverseNow AI
    Inventors: Rahul Aggarwal, Vinay Kumar Shukla, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, German Kurt Grin, Fernando Ezequiel Gonzalez, Julia Milanese, Zubair Talib, Matias Grinberg
  • Patent number: 11810550
    Abstract: A computer system may connect to various customer-facing devices and manage or automate the order process between a retail store and the customer. The computer system may perform the dialogue and receive an order for items from the retail store and may perform quality control monitoring of the dialogue between customers and employees taking orders. The ordering system may utilize the ordered items in combination with various contextual cues to determine a customer identity which may then be linked to past orders and/or various order preferences. Based on the determined customer identity, the system may provide recommendations of additional order items or order alterations to the customer before personally identifying information has been collected from the customer. The determination of the customer identity and the determination of recommendations may be performed by machine learning algorithms that were trained on customer data and the retail store products.
    Type: Grant
    Filed: February 24, 2021
    Date of Patent: November 7, 2023
    Inventors: Vinay Kumar Shukla, Rahul Aggarwal, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J
  • Publication number: 20230245662
    Abstract: Embodiments herein disclose a method for an enhanced interaction with a voice assistant using user accessories data by a first electronic device. The method includes detecting an utterance from a first user, where the utterance comprises a data item indicative of an identity of at least one second user. Further, the method includes determining at least one of position information and direction information of at least one wearable electronic device connected to the first electronic device of the first user. Further, the method includes determining the identity of the at least one second user indicated in the utterance of the first user based on at least one of the position and the direction of the at least one wearable electronic device connected to the first electronic device.
    Type: Application
    Filed: November 5, 2022
    Publication date: August 3, 2023
    Inventors: Mayank Kumar TYAGI, Praveen Kumar Guvvakallu Sivamoorthy, Navin N, Vrajesh Navinchandra Sejpal, Aravindh N, Sudip Roy, Sanofer H, Arjun Janardhanan Kappatan, Lalith Satya Vara Prasad Medeti, Saumitri Choudhury
  • Publication number: 20230236858
    Abstract: Provided are methods and systems for suggesting an enhanced multimodal interaction. The method for suggesting at least one modality of interaction, includes: identifying, by an electronic device, initiation of an interaction by a user with a first device using a first modality; detecting, by the electronic device, an intent of the user and a state of the user based on the identified initiated interaction; determining, by the electronic device, at least one of a second modality and at least one second device, to continue the initiated interaction, based on the detected intent of the user and the detected state of the user; and providing, by the electronic device, a suggestion to the user to continue the interaction with the first device using the determined second modality, by indicating the second modality on the first device or the at least one second device.
    Type: Application
    Filed: March 28, 2023
    Publication date: July 27, 2023
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Praveen Kumar GUVVAKALLU SIVAMOORTHY, Mayank Kumar TYAGI, Navin N, Aravindh N, Sanofer H, Sudip ROY, Arjun Janardhanan KAPPATAN, Lalith Satya Vara Prasad MEDETI, Vrajesh Navinchandra SEJPAL, Saumitri CHOUDHURY
  • Patent number: 11704753
    Abstract: In some aspects, a computing device receives a scan of a code displayed on an order post located near a restaurant, determines that the code is associated with the restaurant, and automatically opens a software application and navigates the software application to an ordering page associated with the restaurant. The computing device initiates receiving, via the software application, input associated with an order, sends the input to a machine learning based software agent executing on a server, receives a predicted response to the input, provides the predicted response as audio output and/or displays the predicted response on the touchscreen display device. After the order is complete, the computing device sends order data associated with the order to the restaurant. After receiving an indication from the restaurant that the order is ready, the computing device indicates that the order is ready to be picked up.
    Type: Grant
    Filed: June 3, 2022
    Date of Patent: July 18, 2023
    Assignee: ConverseNowAI
    Inventors: Jon Dorch, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, Ruchi Bafna, T M Vinayak, Vinay Kumar Shukla, Rahul Aggarwal
  • Patent number: 11514894
    Abstract: In some examples, a server may receive an utterance from a customer. The utterance may be included in a conversation between the artificial intelligence engine and the customer. The server may convert the utterance to text and determine a customer intent based on the text and a user history. The server may determine a user model of the customer based on the text and the customer intent. The server may update a conversation state associated with the conversation based on the customer intent and the user model. The server may determine a user state based on the user model and the conversation state. The server may select, using a reinforcement learning based module, a particular action from a set of actions, the particular action including a response and provide the response to the customer.
    Type: Grant
    Filed: November 18, 2021
    Date of Patent: November 29, 2022
    Assignee: ConverseNowAI
    Inventors: Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, Pranav Nirmal Mehra, Rahul Aggarwal, Vinay Kumar Shukla, Zubair Talib
  • Publication number: 20220301082
    Abstract: In some aspects, a computing device receives a scan of a code displayed on an order post located near a restaurant, determines that the code is associated with the restaurant, and automatically opens a software application and navigates the software application to an ordering page associated with the restaurant. The computing device initiates receiving, via the software application, input associated with an order, sends the input to a machine learning based software agent executing on a server, receives a predicted response to the input, provides the predicted response as audio output and/or displays the predicted response on the touchscreen display device. After the order is complete, the computing device sends order data associated with the order to the restaurant. After receiving an indication from the restaurant that the order is ready, the computing device indicates that the order is ready to be picked up.
    Type: Application
    Filed: June 3, 2022
    Publication date: September 22, 2022
    Inventors: Jon Dorch, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, Ruchi Bafna, TM Vinayak, Vinay Kumar Shukla, Rahul Aggarwal
  • Publication number: 20220270600
    Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.
    Type: Application
    Filed: July 2, 2021
    Publication date: August 25, 2022
    Inventors: Rahul Aggarwal, Vinay Kumar Shukla, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, German Kurt Grin, Fernando Ezequiel Gonzalez, Julia Milanese, Zubair Talib, Matias Grinberg
  • Publication number: 20220270164
    Abstract: In some examples, a server may receive, by a menu manager executing on the server, a menu having a particular format from a point-of-sale (POS) terminal and parse the menu to create a parsed menu. The menu is parsed using POS data indicating a formatting of the menu. The server automatically converts the parsed menu into multiple menu items, stores the multiple menu items in a menu item database, and creates a mapping database that includes pricing data, pronunciation data, and voice tags associated with individual menu items of the multiple menu items. The server provides multiple software agents access to the mapping database and instructs individual software agents of the one or more software agents to initiate a conversation with a customer to receive a voice-based order. The individual software agents comprise an instance of an artificial intelligence engine.
    Type: Application
    Filed: March 7, 2022
    Publication date: August 25, 2022
    Inventors: Pranav Nirmal Mehra, Akshay Labh Kayastha, Ruchi Bafna, Niyathi Allu, Sonali Dipsikha, Anthony Lowe, Vinayak T M, German Kurt Grin, Wayne Moffet, Yuganeshan A J, Vrajesh Navinchandra Sejpal, Rahul Aggarwal
  • Publication number: 20220270594
    Abstract: In some examples, a server may receive an utterance from a customer. The utterance may be included in a conversation between the artificial intelligence engine and the customer. The server may convert the utterance to text and determine a customer intent based on the text and a user history. The server may determine a user model of the customer based on the text and the customer intent. The server may update a conversation state associated with the conversation based on the customer intent and the user model. The server may determine a user state based on the user model and the conversation state. The server may select, using a reinforcement learning based module, a particular action from a set of actions, the particular action including a response and provide the response to the customer.
    Type: Application
    Filed: November 18, 2021
    Publication date: August 25, 2022
    Inventors: Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, Pranav Nirmal Mehra, Rahul Aggarwal, Vinay Kumar Shukla, Zubair Talib
  • Publication number: 20220270591
    Abstract: A computer system may connect to various customer-facing devices and manage or automate the order process between a retail store and the customer. The computer system may perform the dialogue and receive an order for items from the retail store and may perform quality control monitoring of the dialogue between customers and employees taking orders. The ordering system may utilize the ordered items in combination with various contextual cues to determine a customer identity which may then be linked to past orders and/or various order preferences. Based on the determined customer identity, the system may provide recommendations of additional order items or order alterations to the customer before personally identifying information has been collected from the customer. The determination of the customer identity and the determination of recommendations may be performed by machine learning algorithms that were trained on customer data and the retail store products.
    Type: Application
    Filed: February 24, 2021
    Publication date: August 25, 2022
    Inventors: Vinay Kumar SHUKLA, Rahul Aggarwal, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J
  • Patent number: 11355120
    Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.
    Type: Grant
    Filed: October 1, 2021
    Date of Patent: June 7, 2022
    Assignee: ConverseNowAI
    Inventors: Zubair Talib, Rahul Aggarwal, Vinay Kumar Shukla, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, German Kurt Grin, Fernando Ezequiel Gonzalez, Julia Milanese, Matias Grinberg
  • Patent number: 11354760
    Abstract: In some aspects, an order post detects, using one or more sensors, a presence of a customer, determines an identity of the customer, retrieves previous orders of the customer, indicates at least one item in the previous orders, receives an order comprising input that includes an utterance of the customer, modifies the utterance to create a modified utterance, sends the modified utterance to a software agent comprising a natural language processor and one or more classifiers, receives a predicted response to the modified utterance from the software agent, plays back the predicted response via the speaker, determines that the order is complete, receives payment information for the order from the customer, sends order data associated with the order to a restaurant, receives an indication from the restaurant that the order is ready for pickup, and instructs the customer to pick up the order.
    Type: Grant
    Filed: October 1, 2021
    Date of Patent: June 7, 2022
    Assignee: ConverseNowAI
    Inventors: Jon Dorch, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J, Ruchi Bafna, T M Vinayak, Vinay Kumar Shukla, Rahul Aggarwal
  • Patent number: 11355122
    Abstract: In some examples, a software agent executing on a server an utterance from a customer. The software agent converts the utterance to text. The software agent creates an audio representation of the text and performs a comparison of the audio representation and the utterance. The software agent creates edited text based on the comparison. For example, the software agent may determine, based on the comparison, audio differences between the audio representation and the utterance, create a sequence of edit actions based on the audio differences, and apply the sequence of edit actions to the text to create the edited text. The software agent outputs the edited text as a dialog response to the utterance.
    Type: Grant
    Filed: September 1, 2021
    Date of Patent: June 7, 2022
    Assignee: ConverseNowAI
    Inventors: Fernando Ezequiel Gonzalez, Vinay Kumar Shukla, Rahul Aggarwal, Vrajesh Navinchandra Sejpal, Leonardo Cordoba, Julia Milanese, Zubair Talib, Matias Grinberg
  • Patent number: 11348160
    Abstract: A computer system may connect to various customer-facing devices and manage or automate the order process between a retail store and the customer. The computer system may perform the dialogue and receive an order for items from the retail store and may perform quality control monitoring of the dialogue between customers and employees taking orders. The ordering system may utilize the ordered items in combination with various contextual cues to determine a customer identity which may then be linked to past orders and/or various order preferences. Based on the determined customer identity, the system may provide recommendations of additional order items or order alterations to the customer before personally identifying information has been collected from the customer. The determination of the customer identity and the determination of recommendations may be performed by machine learning algorithms that were trained on customer data and the retail store products.
    Type: Grant
    Filed: October 1, 2021
    Date of Patent: May 31, 2022
    Assignee: ConverseNowAI
    Inventors: Vinay Kumar Shukla, Rahul Aggarwal, Pranav Nirmal Mehra, Vrajesh Navinchandra Sejpal, Akshay Labh Kayastha, Yuganeshan A J