IP Library › Granted Patent US 12,694,875
Granted Patent B2
US 12,694,875 · App. 18/540,850 · Granted Jul 28, 2026

Method, device and system of contextual and user location based operational execution via a generative artificial intelligence (AI) computing platform in response to user interaction therewith

Inventors: Raj Abhyanker (Cupertino, CA); Mircea Voskerician (Palo Alto, CA)
G10L15/22G06F16/63G06F16/68G06F16/687G06F40/40G06F40/58G06Q30/0271G10L15/005G10L15/063G10L15/1815H04L51/21H04L67/306H04W4/02G10L2015/223G10L2015/227G10L2015/228
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Quick Facts
Patent No.
US 12,694,875
App. No.
18/540,850
Granted
Jul 28, 2026
Kind
B2
Abstract

A method, a device and/or a system of a generative AI computing platform implemented using a processor communicatively coupled to a memory is disclosed. In accordance therewith, context relevant to an interaction of a user with the generative AI computing platform is determined from an input thereto indicative of the interaction of the user. In addition to the context, a current location of the user is determined from the input, data associated with the input and/or metadata of the user outside the input and the data associated with the input. Also, one or more operation(s) contextually relevant to and reflective of the determined context and the determined current location of the user is automatically executed as associated with a response to the interaction of the user.

Claims (52)

1 . A method of a generative Artificial Intelligence (AI) computing platform implemented using a processor communicatively coupled to a memory, comprising:

determining context relevant to an interaction of a user with the generative AI computing platform from an input to the generative AI computing platform indicative of the interaction of the user,

wherein the input comprises at least one of: an electronic mail transmitted by the user through an interface of a city council website to a representative of a city council, and

wherein the user is a resident of a locality associated with a jurisdiction of the city council, and a query submitted by the user through a generative AI interface provided by the city council;

determining, in addition to the context, a current location of the user from at least one of; the input, data associated with the input and metadata of the user outside the input and the data associated with the input, wherein the metadata comprises at least one of postal address data, zip code data, Internet Protocol (IP) address data, and user-specific data associated with the city council website; and

automatically executing at least one operation contextually relevant to and reflective of the determined context and the determined current location of the user as associated with a response to the interaction of the user, wherein the at least one operation comprises rendering, via a user interface of the city council website or the generative AI interface, content responsive to a civic issue associated with governance by the city council and geographically relevant to the current location of the user.

2 . The method of claim 1 , comprising at least one of:

the input being at least one of: an electronic mail from the user, a query through a generative AI interface provided through the generative AI computing platform accessed by the user via a data processing device thereof;

the data associated with the input being an attachment to the electronic mail;

determining the current location of the user from the at least one of: the input, the data associated with the input and the metadata of the user outside the input and the data associated with the input comprising determining the current location from at least one of: postal address data, zip code data and Internet Protocol (IP) address data; and

determining the context comprises analyzing the text of the electronic mail or the query using a Natural Language Processing (NLP) engine implemented as part of the generative AI computing platform.

3 . The method of claim 1 , wherein automatically executing the at least one operation contextually relevant to and reflective of the determined context and the determined current location of the user further comprises rendering, via the user interface of the city council generative AI interface, content reflective of the determined context and the determined current location of the user.

4 . The method of claim 3 , further comprising

matching the determined context and the determined current location of the user across the generative AI computing platform to determine the content to be rendered on the user interface.

5 . The method of claim 3 , further comprising additionally rendering interactive content associated with the content on the user interface to facilitate engagement of the user directly therewith.

6 . The method of claim 3 , comprising rendering the content on the user interface one of: during generation of the response to the user, prior to the generation of the response to the user and after the generation of the response to the user.

7 . The method of claim 1 , further comprising, as part of determining the context, refining the context based on access of historical data reflective of past interactions of the user with the generative AI computing platform analogous to the interaction of the user.

8 . The method of claim 1 , wherein determining the context further comprises performing sentiment analysis on the input based on training the generative AI computing platform with data analogous to the input.

9 . A data processing device comprising:

a memory comprising instructions associated with a generative AI computing platform stored therein; and

processor communicatively coupled to the memory, the processor executing the instructions associated with the generative AI computing platform to:

determine context relevant to an interaction of a user with the generative AI computing platform from an input to the generative AI computing platform indicative of the interaction of the user,

wherein the input comprises at least one of: an electron ail transmitted by the user through an interface of a city council website to a representative of a city council, and

wherein the user is a resident of a locality associated with a jurisdiction of the city council, and a query submitted by the user through a generative AI interface provided by the city council,

determine, in addition to the context, a current location of the user from at least one of: the input, data associated with the input and metadata of the user outside the input and the data associated with the input, wherein the metadata comprises at least one of postal address data, zip code data, Internet Protocol (IP) address data, and user-specific data associated with the city council website, and

automatically execute at least one operation contextually relevant to and reflective of the determined context and the determined current location of the user as associated with a response to the interaction of the user, wherein the at least one operation comprises rendering, via a user interface of the city council website or the generative AI interface, content to a civic issue associated with the city council and geographically relevant to the current location of the user.

10 . The data processing device of claim 9 , wherein the processor executes the instructions associated with the generative AI computing platform to at least one of:

receive at least one of: an electronic mail from the user, a query through a generative AI interface provided through the generative AI computing platform sed by the user via a data processing device thereof,

receive the data associated with the input as an attachment to the electronic mail, and

determine the current location of the user from the at least one of: the input, the data associated with the input and the metadata of the user outside the input and the data associated with the input based on determining the current location from at least one of: postal address data, zip code data and IP address data.

11 . The data processing device of claim 9 , wherein the processor executes the instructions associated with the generative AI computing platform to automatically execute the at least one operation contextually relevant to and reflective of the determined context and the determined current location of the user based on rendering, via the user interface of the city council website or the generative AI interface, content reflective of the determined context and the determined current location of the user as the at least one operation.

12 . The data processing device of claim 11 , wherein the processor further executes the instructions associated with the generative AI computing platform to additionally render interactive content associated with the content on the user interface to facilitate engagement of the user directly therewith.

13 . The data processing device of claim 11 , wherein the processor further executes the instructions associated with the generative AI computing platform to render the content on the user interface one of: during generation of the response to user, prior to the generation of the response to the user and after the generation of the response to the user.

14 . The data processing device of claim 9 , wherein the processor further executes the instructions associated with the generative AI computing platform to, as part of determining the context, refine the context based on access of historical data reflective of past interactions of the user with the generative AI computing platform analogous to the interaction of the user.

15 . The data processing device of claim 9 , wherein the processor furth er executes the instructions associated with the generative AI computing platform to determine the context based on performing sentiment analysis on the input in accordance with training the generative AI computing platform with data analogous to the input.

16 . A system comprising:

at least one server executing a generative AI computing platform thereon; and

a data processing device communicatively coupled to the at least one server through a computer network,

wherein, as associated with a response to an input to the generative AI computing platform indicative of an interaction of a user of the data processing device therewith, the generative AI computing platform:

determines context relevant to the interaction of the user with the generative AI computing platform from the input,

wherein the input comprises at least one of: an electronic mail transmitted by the user through an interface of a city council website to a representative of a city council, and

wherein the user is a resident of a locality associated with a jurisdiction of the city council, and a query submitted by the user through a generative AI interface provided by the city council,

determines, in addition to the context, a current location of the user from at least one of: the input, data associated with the input and metadata of the user outside the input and the data associated with the input, wherein the metadata comprises at least one of postal address data, zip code data, Internet Protocol (IP) address data, and user profile data associated with the city council website, and

automatically executes at least one operation contextually relevant to and reflective of the determined context and the determined current location of the user, wherein the at least one operation comprises rendering, via a user interface of the city council website or the generative AI interface, content responsive to a civic issue associated with the city council and geographically relevant to the current location of the user.

17 . The system of claim 16 , wherein at least one of:

the input is at least one of: an electronic mail from the user, a query through a generative AI interface provided through the generative AI computing platform accessed by the user via the data processing device thereof,

the data associated with the input is an attachment to the electronic mail, and

the generative AI computing platform determines the current location of the user from the at least one of: the input, the data associated with the input and the metadata of the user outside the input and the data associated with the input based on determining the current location from at least one of: postal address data, zip code data and IP address data.

18 . The system of claim 16 , wherein the generative AI computing platform automatically executes the at least one operation contextually relevant to and reflective of the determined context and the determined current location of the user in accordance with rendering, via the user interface of the city council website or the generative AI interface, content reflective of the determined context and the determined current location of the user.

19 . The system of claim 18 , wherein

the generative AI computing platform matches the determined context and the determined current location of the user to determine the content to be rendered on the user interface.

20 . The system of claim 18 , wherein the generative AI computing platform additionally renders interactive content associated with the content on the user interface to facilitate engagement of the user directly therewith.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 9, 2025
From: ABHYANKER, RAJ; VOSKERICIAN, MIRCEA
To: GOVERNMENTGPT, INC.
Reel/Frame 072198/0466 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 22, 2024
From: ABHYANKER, RAJ; VOSKERICIAN, MIRCEA
To: GOVERNMENTGPT INC.
Reel/Frame 066537/0075 →
Continuity (5)
Provisional Application 63608394 · Dec 11, 2023
Provisional Application 63607693 · Dec 8, 2023
Provisional Application 63607699 · Dec 8, 2023
Provisional Application 63607554 · Dec 7, 2023
Related Publication 20250190713A1 · Jun 12, 2025
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“The Civic Engagement Social Network”, by Hiago, Found Online on [Dec. 15, 2023] Link: https://hiago.com/. [cited by applicant]
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“Experimenting with public engagement platforms in local government”, Published at Arizona state university, by Seongkyung Cho et al., Found Online on [Dec. 15, 2023] Link: https://sci-hub.hkvisa.net/10.1177/10780874198… [cited by applicant]
“Generative Theories of Interaction”, Published at HAL open science, by Michel Beaudouin-Lafon et al., Published Online in [Sep. 2021] Link: https://hal.science/hal-03434142/file/GenTheory%20authorversion.pdf. [cited by applicant]
“Generative artificial intelligence as a new context for management theories: analysis of ChatGPT Analysis of ChatGPT”, Published at Central European Management Journal, by Pawel Korzynski et al., Found Online on [Dec. … [cited by applicant]
“Meet 'Tab'—the Wearable AI Companion by 20yr old Tech Whiz Avi Schiffmann”, Published at Metaverse Post, by Victor Dey, Published Online on [Oct. 5, 2023] https://mpost.io/meet-tab-the-wearable-ai-companion-by-20yr-old… [cited by applicant]
“The Humane AI Pin in action”, Published at The New York Times, by Erin Griffith et al., Published Online on [Nov. 9, 2023] https://www.nytimes.com/2023/11/09/technology/silicon-valleys-big-bold-sci-fi-bet-on-the-device… [cited by applicant]
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“The Google Home Hub will put Assistant up against Amazon's Echo Show”, Published at Vox Media, LLC., by Chaim Gartenberg, Published Online On [Oct. 9, 2023] https://www.theverge.com/circuitbreaker/2018/10/9/17943362/go… [cited by applicant]
“The history of the Amazon Echo”, Published at Humane Inc., by Tyler Lacoma, Published Online on [Sep. 30, 2022] https://www.digitaltrends.com/home/history-of-amazon-echo/?amp. [cited by applicant]
“Drones navigate unseen environments with liquid neural networks”, Published at Massachusetts Institute of Technology, Published Online on [Apr. 19, 2023] https://news.mit.edu/2023/drones-navigate-unseen-environments-li… [cited by applicant]
“Internet-Augmented Dialogue Generation”, Published at Association for Computational Linguistics, by Mojtaba Komeili et al., Found Online on [Dec. 22, 2023] https://arxiv.org/pdf/2107.07566.pdf. [cited by applicant]
“Chatbot as a New Business Communication Tool: The Case of Naver TalkTalk”, Published at Business Communication Research and Practice, by Miri Heo et al., Published Online on [Nov. 20, 2017] https://shorturl.at/enEY4. [cited by applicant]
“Artificial Intelligence in the City: Building Civic Engagement and Public Trust”, Published at Centre for Interdisciplinary Research on Montreal, McGill University, by Ana Brandusescuet et al., Published Online on [Jul… [cited by applicant]
“Empowering Local Communities Using Artificial Intelligence”, Published at Cornell University, by Yen-Chia Hsu et al., Published Online on [Apr. 26, 2022] https://arxiv.org/pdf/2110.02007.pdf. [cited by applicant]
“Sensors and Artificial Intelligence Methods and Algorithms for Human-Computer Intelligent Interaction: A Systematic Mapping Study”, Published at AI-Enabled Sensing Technology and Data Analysis Techniques for Intelligen… [cited by applicant]
“Hands-On Generative AI using real-world applications”, Published at Altimetrik, by Agam Dogra, Published Online On [Dec. 11, 2023] https://www.altimetrik.com/hands-on-generative-ai-using-real-world-applications/. [cited by applicant]
“PiggieBank”, Published at Network Limited, Published Online on [Nov. 9, 2023] https://www.f6s.com/company/piggiebank#about. [cited by applicant]
“The AirForce's Drones Can Now Recognize Faces Uh-Oh”, Published at U.S. Air Force's Drones Can Now Recognize Faces, by Sascha Brodsky, Published Online on [Feb. 24, 2023] https://www.popularmechanics.com/military/a4306… [cited by applicant]
“OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields”, Published at Ieee Transactionson Pattern Analysis and Machine Intelligence, by Zhe Cao et al., Published Online on [May 30, 2019] https://… [cited by applicant]
“What's a convolutional neural network and how is it used for image recognition in search”, Published at Algolia, Published Online on [Mar. 1, 2023] https://shorturl.at/beosS. [cited by applicant]
“How Tesla Uses and Improves Its AI for Autonomous Driving”, Published at Enterprise AI, by All Azhar, Published Online on [Jan. 3, 2024] https://www.enterpriseai.news/2023/03/08/how-tesla-uses-and-improves-its-ai-for-a… [cited by applicant]
“How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior”, Published at New Orleans, by Vidya Setlur et al., Published in [2022] https://dl.acm.org/doi/… [cited by applicant]
“Natural User Interfaces for Human-Drone Multi-Modal Interaction”, Published at Technical University of Madrid, by Ramon A. Suarez Fernandez, Found Online on [Jan. 5, 2024] https://www.researchgate.net/publication/30481… [cited by applicant]
“SmarTy: An Intelligent Voice Response System Model for Indian Local Languages”, Published at Madanapalle Institute of Technology & Science, by Komala Anamalamudi et al., Published in [Apr. 2022] https://shorturl.at/hpv… [cited by applicant]
“Computing Systems for Autonomous Driving: State-of-the-Art and Challenges”, Published at Wayne State University, by Liangkai Liu et al., Published Online on [Dec. 7, 2020] https://arxiv.org/pdf/2009.14349.pdf. [cited by applicant]
“Intelligent Voice Assistant Extended Through Voice Relay System”, Published at Defensive Publications Series, by Lawrence Chang et al., Published Online on [Aug. 29, 2018] https://www.tdcommons.org/cgi/viewcontent.cgi?… [cited by applicant]
“Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments”, Published at Chaoyang University of Technology, by Wei-Hsun Wang et al., Published Online on [Jun. 26, 2023] https://www.mdpi… [cited by applicant]
“Generative AI”, Published at Bus Inf Syst Eng, by S. Feuerriegel et al., Published Online on [Sep. 12, 2023] https://www.researchgate.net/profile/Patrick-Zschech/publication/370653602_Generative_AI/links/651f054c3ab6cb… [cited by applicant]
“Integrating body-worn cameras, drones, and AI: A framework for enhancing police readiness and response”, Published at a Journal of Policy and Practice, by Amanda Davies et al., Published Online on [Dec. 13, 2023] https… [cited by applicant]
“Interactive Voice Response System With Speech Recognition”, Published at Tribhuvan University Institute of Engineering Pulchowk Campus, by Prabin Bhandari et al., Published Online in [Aug. 2017] https://shorturl.at/hDQ… [cited by applicant]
“Talk of the Town: Discovering Open Public Data via Voice Assistants”, Published at University of California, by Sara Lafia et al., Found Online on [Jan. 10, 2024] https://drops.dagstuhl.de/storage/00lipics/lipics-vol14… [cited by applicant]
“The Implications of Providing Voice-Based Chatbots in Public Service for Digital Inclusion and Public Communication”, Published at The Journal of Multicultural Society, by Jinsoon Song, Published Online in [2022] http:… [cited by applicant]
“A Method for Increasing User Engagement with Voice Assistant System”, Published at Samsung Electronics, by Daehee Park et al., Published Online in [Jul. 2020] https://shorturl.at/dIDK8. [cited by applicant]
“The Potential ofArtificial Intelligence in Government Citizen Engagement”, Published at Research Brief, by Genesys, Found Online on [Jan. 10, 2024] https://shorturl.at/mAT49. [cited by applicant]
“10 Ways to Use Artificial Intelligence (AI) in Community Engagement”, Published at Social PinPoint, by Caitlin Ryan, Published Online on [Aug. 30, 2023] https://www.socialpinpoint.com/ways-to-use-artificial-intelligenc… [cited by applicant]
“Sustainable Subdivision Planning and Design: Analysis, Literature Review and Annotated Bibliography”, Published at Institute of Urban Studies, University of Winnipeg, by IDavid R. Van Vliet, Found Online on [Jan. 12, 2… [cited by applicant]
“Information and Communication Technologies for Public Use and Interactive-Multimedia City Kiosks”, Published at izmir Institute of Technology, by Özlem Taskin , Published in [Apr. 2004] https://core.ac.uk/download/pdf/… [cited by applicant]
“Interactive Digital Kiosks”, Published at City Council Economic Development Committee, by Mayor's Office of Economic Development, Published Online on [Mar. 22, 2021] https://www.houstontx.gov/council/committees/econdev… [cited by applicant]
“Building a Smart Interactive Kiosk for Tourist Assistance”, Published at Society for Science and Education, by Hanane Amessafi et al., Published Online on [Aug. 15, 2017] https://www.researchgate.net/publication/320000… [cited by applicant]
“Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs”, Published at Arxiv, by Feriel Khennouche et al., Published Online on [Nov. 16, 2023] https://arxiv.… [cited by applicant]
“Generative AI in Computing Education:Perspectives of Students and Instructors”, Published at Computer & Information Sciences Temple University, by Cynthia Zastudil et al., Published Online on [Aug. 8, 2023] https://arx… [cited by applicant]
“Imagining a New Era of Customer Experience With Generative AI”, Published at Capgemini, by Alex Smith Bingham et al., Found Online on [Jan. 11, 2024] https://prod.ucwe.capgemini.com/wp-content/uploads/2023/07/2023-07-2… [cited by applicant]
“Generative AI: Unleashing Innovation and Exploringits Impact”, Published at White Paper Rackspace Technology, by Microsoft Azure, Found Online on [Jan. 11, 2024] https://www.rackspace.com/sites/default/files/white-pape… [cited by applicant]
“How gen AI is reimagining and remaking the modern contact center”, Published at Google Cloud, by Thomas Kurian, Published Online in [Aug. 2023] https://www.cognizant.com/en_us/about/documents/how-gen-ai-is-reimagining-… [cited by applicant]
“AI in Customer Experience”, Published at Insider Intelligence, by Jessica Lis, Published in [Mar. 2022] https://marketing.acxiom.com/rs/982-LRE-196/images/eMarketer_AI_in_Customer_Experience_Report.pdf. [cited by applicant]
“Customer Predictive Analytics Using Artificial Intelligence”, Published at World Scientific, by Siti Zulaikha et al., Published Online on [Aug. 6, 2020] https://repository.unair.ac.id/113843/4/Masmira_Artikel104_Custom… [cited by applicant]
“The Role of Artificial Intelligence on Enhancing Customer Experience”, Published at International Review of Management and Marketing, by Mohannad Abu Dagar et al., Published Online in [Jul. 2019] https://www.econjourna… [cited by applicant]
“Atherton” by Raj Abhyanker, Published Online in [2022] https://www.atherton.com/mapview. [cited by applicant]
“Split your lot using SB 9” by Homestead, Published Online in [2022] https://www.myhomestead.com/learn. [cited by applicant]
“Symbium—Property and Permit Information Portal”, by Symbium, Found Online on [Jan. 11, 2024] https://symbium.com/search/. [cited by applicant]
“Zillow for Advertisers”, by Zillow, Published Online in [Mar. 2007] https://www.zillow.com/static/pdf/Zillow_Media_Kit_March_2007.pdf. [cited by applicant]
“Proposed Algorithm of Land Parcel Subdivision”, Published at Journal of Surveying Engineering, by Maan Habib, Published Online in [Aug. 2020]. https://www.researchgate.net/publication/341113196_Proposed_Algorithm_of_La… [cited by applicant]
“Procedural Generation of Parcels in Urban Modeling”, Published at Eurographics, by Carlos A. Vanegas et al., Published Online in [2012] https://www.cs.purdue.edu/cgvlab/papers/aliaga/eg2012.pdf. [cited by applicant]
“SB9: A Comprehensive Guide to Lot-Splits in California”, by Maxable, Found Online on [Jan. 11, 2024] https://maxablespace.com/sb9-a-comprehensive-guide-to-lot-splits-in-california/. [cited by applicant]