Patents by Inventor Sakshi Jain
Sakshi 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).
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Patent number: 11972779Abstract: Systems and methods for providing individualized meeting content to participants in online meetings. Participant preferences may be summarized and displayed for speakers to see and attempt to follow, thus increasing the likelihood that meetings will progress according to the preferences of their attendees. Participants may also have their individual meeting feeds tailored to their preferences, if those preferences can be met in real time, during the meeting. Participants may further receive individual recordings of the meetings afterward, for those preferences that cannot be met in real time. In this manner, meeting participants may experience personalized versions of meetings, tailored to their particular preferences. This may improve participant interest in, and engagement with, online meetings.Type: GrantFiled: April 6, 2023Date of Patent: April 30, 2024Assignee: Rovi Guides, Inc.Inventors: Ankur Anil Aher, Sakshi Jain, Amanpreet Singh, Cato Yang
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Patent number: 11854540Abstract: A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.Type: GrantFiled: April 5, 2021Date of Patent: December 26, 2023Assignee: Accenture Global Solutions LimitedInventors: Anutosh Maitra, Shubhashis Sengupta, Sowmya Rasipuram, Roshni Ramesh Ramnani, Junaid Hamid Bhat, Sakshi Jain, Manish Agnihotri, Dinesh Babu Jayagopi
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Publication number: 20230351460Abstract: There are provided systems and methods for the purchase of age-restricted merchandise without requiring the transmission of biometric information. In one form, the system includes: age-restricted merchandise items offered for sale to customers, a server that receives orders from customer devices, and a customer database containing a plurality of customer records.Type: ApplicationFiled: July 10, 2023Publication date: November 2, 2023Inventors: Nidhi Agarwal, Anika Setia, Sakshi Jain
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Patent number: 11734737Abstract: There are provided systems and methods for the purchase of age-restricted merchandise without requiring the transmission of biometric information. In one form, the system includes: age-restricted merchandise items offered for sale to customers, a server that receives orders from customer devices, and a customer database containing a plurality of customer records.Type: GrantFiled: September 18, 2019Date of Patent: August 22, 2023Assignee: WALMART APOLLO, LLCInventors: Nidhi Agarwal, Anika Setia, Sakshi Jain
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Publication number: 20230260551Abstract: Systems and methods for providing individualized meeting content to participants in online meetings. Participant preferences may be summarized and displayed for speakers to see and attempt to follow, thus increasing the likelihood that meetings will progress according to the preferences of their attendees. Participants may also have their individual meeting feeds tailored to their preferences, if those preferences can be met in real time, during the meeting. Participants may further receive individual recordings of the meetings afterward, for those preferences that cannot be met in real time. In this manner, meeting participants may experience personalized versions of meetings, tailored to their particular preferences. This may improve participant interest in, and engagement with, online meetings.Type: ApplicationFiled: April 6, 2023Publication date: August 17, 2023Inventors: Ankur Anil Aher, Sakshi Jain, Amanpreet Singh, Cato Yang
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Patent number: 11651796Abstract: Systems and methods for providing individualized meeting content to participants in online meetings. Participant preferences may be summarized and displayed for speakers to see and attempt to follow, thus increasing the likelihood that meetings will progress according to the preferences of their attendees. Participants may also have their individual meeting feeds tailored to their preferences, if those preferences can be met in real time, during the meeting. Participants may further receive individual recordings of the meetings afterward, for those preferences that cannot be met in real time. In this manner, meeting participants may experience personalized versions of meetings, tailored to their particular preferences. This may improve participant interest in, and engagement with, online meetings.Type: GrantFiled: July 15, 2021Date of Patent: May 16, 2023Assignee: Rovi Guides, Inc.Inventors: Ankur Anil Aher, Sakshi Jain, Amanpreet Singh, Cato Yang
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Publication number: 20230084550Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving requests for at least two pick-walks to fulfill multiple orders; mapping each of the multiple items to respective aisles within at least a single portion of the location; calculating, using core logic, a minimum distance for each one of two or more pick-walks to fulfill the multiple orders, wherein the two or more pick-walks are revised through multiple iterations; generating the at least two pick-walks based on the two or more pick-walks; and transmitting the at least two pick-walks to the at least two pickers. Other embodiments are disclosed.Type: ApplicationFiled: August 22, 2022Publication date: March 16, 2023Applicant: Walmart Apollo, LLCInventors: Sakshi Jain, Priyank Vashist, Abhin Hattikudru, Ankur Kapoor
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Publication number: 20230072171Abstract: A system and method for training and refining a machine learning model is disclosed. The disclosed system and method can further improve the accuracy of trained machine learning models by calculating which threshold values for predictions (e.g., probabilities output by the machine learning model) provide the most accurate results. The system and method may include applying an optimization technique (e.g., multi-objective optimization) to calculate which threshold values result in the best combination of precision and recall. In other words, the system and method adjust threshold values for prediction scores to optimize the objects of precision and recall. A machine learning model trained with these adjusted threshold values can determine when an input belongs to an unknown class because the unknown input has prediction scores below the threshold values for every known class. Embodiments may include refining an intent classifier to better classify unknown intents.Type: ApplicationFiled: June 10, 2022Publication date: March 9, 2023Inventors: Shubhashis Sengupta, Roshni Ramesh Ramnani, Sakshi Jain, Prerna Prem, Asif Ekbal, Zishan Ahmad
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Patent number: 11562227Abstract: An interactive troubleshooting assistant and method for troubleshooting a system in real time to repair (fix) one or more problems in a system is disclosed. The interactive troubleshooting assistant and method may include receiving multimodal inputs from sensors, wearable devices, a person, etc. that may be input into a feature extractor including attention layers and pre-processing units of a cloud computing system hosted by one or more servers, such as a private cloud system. A pre-processing unit converts the raw multimodal input into a structed form so that an attention layer can give weights to features provided by the pre-processing unit according to their importance. The weighted extracted features may be provided to an actions predictor. The actions predictor generates the most suitable action based on the weighted extracted features generated by the feature extractor based on the multimodal inputs.Type: GrantFiled: March 13, 2019Date of Patent: January 24, 2023Assignee: Accenture Global Solutions LimitedInventors: Kumar Abhinav, Alpana Dubey, Sakshi Jain, Michael L. Duncan, Nitish Bhardwaj, Niyati Singal
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Publication number: 20230013497Abstract: Systems and methods for providing individualized meeting content to participants in online meetings. Participant preferences may be summarized and displayed for speakers to see and attempt to follow, thus increasing the likelihood that meetings will progress according to the preferences of their attendees. Participants may also have their individual meeting feeds tailored to their preferences, if those preferences can be met in real time, during the meeting. Participants may further receive individual recordings of the meetings afterward, for those preferences that cannot be met in real time. In this manner, meeting participants may experience personalized versions of meetings, tailored to their particular preferences. This may improve participant interest in, and engagement with, online meetings.Type: ApplicationFiled: July 15, 2021Publication date: January 19, 2023Inventors: Ankur Anil Aher, Sakshi Jain, Amanpreet Singh, Cato Yang
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Patent number: 11531948Abstract: The disclosed system and method provide a way to create, update, and execute dynamic goal plans. Updating a dynamic goal plan may be based on the initial sequence of actions of the goal plan as well as the corresponding states of the actions. By using a sequence to sequence model, a goal plan can still be processed when the length of the input (initial sequence of actions) differs from the length of the output (updated sequence of actions). A sequence to sequence model can determine the interdependencies between actions that can contribute to the optimal order in which actions can efficiently be performed. A single layer neural network or clustering can be used to approximate the state of a goal plan that may be capable infinite states. This approximation improves accuracy in capturing the state of a goal plan, thereby improving accuracy in predicting the future state of a system, which can help with planning (e.g., gathering resources in advance).Type: GrantFiled: February 19, 2020Date of Patent: December 20, 2022Assignee: Accenture Global Solutions LimitedInventors: Alpana Dubey, Kumar Abhinav, Sakshi Jain, Veenu Arora
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Patent number: 11507802Abstract: The present disclosure relates to a system, and method for computer-based recursive learning of artificial intelligence (AI) apprentice agents. The system includes a system circuitry in communication with a database and a memory. The system circuitry is configured to receive a new data-structure comprising one or more inputs and a goal, and convert, using a perception agent, the one or more inputs of the new data-structure into one or more input feature parameters of the new data-structure. The system circuitry is configured to obtain, using a reasoning agent, an action for the new data-structure, and determine, using an evaluation agent, whether the action for the new data-structure generates the goal of the new data-structure. When it is determined that the action generates the goal of the new data-structure, the system circuitry is further configured to store the new data-structure in the database.Type: GrantFiled: August 30, 2019Date of Patent: November 22, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Kumar Abhinav, Alpana Dubey, Sakshi Jain, Veenu Arora, Hindnavis Vijaya Sharvani
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Publication number: 20220230632Abstract: A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.Type: ApplicationFiled: April 5, 2021Publication date: July 21, 2022Inventors: Anutosh MAITRA, Shubhashis SENGUPTA, Sowmya RASIPURAM, Roshni Ramesh RAMNANI, Junaid HAMID BHAT, Sakshi JAIN, Manish AGNIHOTRI, Dinesh Babu JAYAGOPI
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Patent number: 11321887Abstract: Examples of article designing are described herein. In an example, image data, margin data, and sales data corresponding to a plurality of articles may be obtained. The obtained data may be analyzed to identify a first article image of a first article and a second article image of a second article. The first article image is integrated with the second article image, based on an article attribute to generate a transformed article image. The article attribute may be an attribute having a maximum likelihood of making the article popular. The transformed article image may be filtered based on predefined filtering rules to obtain a curated article design image. The curated article design image is assessed to generate a design score indicative of a popularity and/or a sellability of an article, and a design of the article may be selected for a post design selection process, based on the design score.Type: GrantFiled: December 23, 2019Date of Patent: May 3, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Nitish Bhardwaj, Sakshi Jain, Kumar Abhinav, Suma Mani Kuriakose, Veenu Arora, Alpana Dubey, Dhruv Bajpai
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Patent number: 11157847Abstract: A crowdsource assistant provides guidance to crowdsource resources navigating a crowdsource platform to bid for and be accepted to accomplish tasks. The crowdsource assistant utilizes machine learning to train similarity computation models that improve the crowdsource assistant's computing capability to generate more relevant recommendations to a resource in a faster and more efficient manner.Type: GrantFiled: October 20, 2017Date of Patent: October 26, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Kumar Abhinav, Sakshi Jain, Alpana Dubey, Gurpriya Kaur Bhatia, Blake McCartin
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Publication number: 20210256434Abstract: The disclosed system and method provide a way to create, update, and execute dynamic goal plans. Updating a dynamic goal plan may be based on the initial sequence of actions of the goal plan as well as the corresponding states of the actions. By using a sequence to sequence model, a goal plan can still be processed when the length of the input (initial sequence of actions) differs from the length of the output (updated sequence of actions). A sequence to sequence model can determine the interdependencies between actions that can contribute to the optimal order in which actions can efficiently be performed. A single layer neural network or clustering can be used to approximate the state of a goal plan that may be capable infinite states. This approximation improves accuracy in capturing the state of a goal plan, thereby improving accuracy in predicting the future state of a system, which can help with planning (e.g., gathering resources in advance).Type: ApplicationFiled: February 19, 2020Publication date: August 19, 2021Inventors: Alpana Dubey, Kumar Abhinav, Sakshi Jain, Veenu Arora
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Patent number: 10901834Abstract: An interactive troubleshooting assistant and method for troubleshooting a system in real time to repair (fix) one or more problems in a system is disclosed. The interactive troubleshooting assistant and method may include receiving multimodal inputs from sensors, wearable devices, a person, etc. that may be input into a feature extractor including attention layers and pre-processing units of a cloud computing system hosted by one or more servers, such as a private cloud system. A pre-processing unit converts the raw multimodal input into a structed form so that an attention layer can give weights to features provided by the pre-processing unit according to their importance. The weighted extracted features may be provided to an actions predictor. The actions predictor generates the most suitable action based on the weighted extracted features generated by the feature extractor based on the multimodal inputs.Type: GrantFiled: March 13, 2019Date of Patent: January 26, 2021Assignee: Accenture Global Solutions LimitedInventors: Kumar Abhinav, Alpana Dubey, Sakshi Jain, Michael L. Duncan, Nitish Bhardwaj, Niyati Singal
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Publication number: 20200293877Abstract: An interactive troubleshooting assistant and method for troubleshooting a system in real time to repair (fix) one or more problems in a system is disclosed. The interactive troubleshooting assistant and method may include receiving multimodal inputs from sensors, wearable devices, a person, etc. that may be input into a feature extractor including attention layers and pre-processing units of a cloud computing system hosted by one or more servers, such as a private cloud system. A pre-processing unit converts the raw multimodal input into a structed form so that an attention layer can give weights to features provided by the pre-processing unit according to their importance. The weighted extracted features may be provided to an actions predictor. The actions predictor generates the most suitable action based on the weighted extracted features generated by the feature extractor based on the multimodal inputs.Type: ApplicationFiled: March 13, 2019Publication date: September 17, 2020Inventors: Kumar Abhinav, Alpana Dubey, Sakshi Jain, Michael L. Duncan, Nitish Bhardwaj, Niyati Singal
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Publication number: 20200293394Abstract: An interactive troubleshooting assistant and method for troubleshooting a system in real time to repair (fix) one or more problems in a system is disclosed. The interactive troubleshooting assistant and method may include receiving multimodal inputs from sensors, wearable devices, a person, etc. that may be input into a feature extractor including attention layers and pre-processing units of a cloud computing system hosted by one or more servers, such as a private cloud system. A pre-processing unit converts the raw multimodal input into a structed form so that an attention layer can give weights to features provided by the pre-processing unit according to their importance. The weighted extracted features may be provided to an actions predictor. The actions predictor generates the most suitable action based on the weighted extracted features generated by the feature extractor based on the multimodal inputs.Type: ApplicationFiled: March 13, 2019Publication date: September 17, 2020Inventors: Kumar Abhinav, Alpana Dubey, Sakshi Jain, Michael L. Duncan, Nitish Bhardwaj, Niyati Singal
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Publication number: 20200257963Abstract: The present disclosure relates to a system, and method for computer-based recursive learning of artificial intelligence (AI) apprentice agents. The system includes a system circuitry in communication with a database and a memory. The system circuitry is configured to receive a new data-structure comprising one or more inputs and a goal, and convert, using a perception agent, the one or more inputs of the new data-structure into one or more input feature parameters of the new data-structure. The system circuitry is configured to obtain, using a reasoning agent, an action for the new data-structure, and determine, using an evaluation agent, whether the action for the new data-structure generates the goal of the new data-structure. When it is determined that the action generates the goal of the new data-structure, the system circuitry is further configured to store the new data-structure in the database.Type: ApplicationFiled: August 30, 2019Publication date: August 13, 2020Inventors: Kumar ABHINAV, Alpana DUBEY, Sakshi JAIN, Veenu ARORA, Hindnavis Vijaya SHARVANI