US 12,248,958 B2
System and method for machine learning and augmented reality based user application
Mohammad A. Mazed, Yorba Linda, CA (US); and Sayeeda Mazed, Yorba Linda, CA (US)
Filed by Mohammad A. Mazed, Yorba Linda, CA (US)
Filed on Nov. 14, 2022, as Appl. No. 17/803,756.
Application 17/803,756 is a continuation in part of application No. 16/873,634, filed on May 26, 2020, granted, now 11,625,761.
Application 16/873,634 is a continuation in part of application No. 16/873,033, filed on Jan. 18, 2020, abandoned.
Application 16/873,033 is a continuation in part of application No. 16/602,404, filed on Sep. 28, 2019, granted, now 11,320,588, issued on May 3, 2022.
Application 16/602,404 is a continuation in part of application No. 15/530,996, filed on Apr. 5, 2017, granted, now 10,540,704, issued on Jan. 21, 2020.
Application 15/530,996 is a continuation in part of application No. 14/999,601, filed on Jun. 1, 2016, granted, now 9,923,124, issued on Feb. 28, 2018.
Application 14/999,601 is a continuation in part of application No. 13/448,378, filed on Apr. 16, 2012, granted, now 9,697,556, issued on Jul. 4, 2017.
Application 13/448,378 is a continuation in part of application No. 12/931,384, filed on Jan. 31, 2011, granted, now 8,548,334, issued on Oct. 1, 2013.
Application 12/931,384 is a continuation in part of application No. 12/238,286, filed on Sep. 25, 2008, abandoned.
Application 12/238,286 is a continuation in part of application No. 11/952,001, filed on Dec. 6, 2007, granted, now 8,073,331, issued on Dec. 6, 2011.
Claims priority of provisional application 62/230,249, filed on Jun. 1, 2015.
Claims priority of provisional application 61/517,204, filed on Apr. 15, 2011.
Claims priority of provisional application 61/404,504, filed on Oct. 5, 2010.
Claims priority of provisional application 60/970,487, filed on Sep. 6, 2007.
Claims priority of provisional application 60/883,727, filed on Jan. 5, 2007.
Claims priority of provisional application 60/868,838, filed on Dec. 6, 2006.
Prior Publication US 2023/0162218 A1, May 25, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/0201 (2023.01); G06N 10/20 (2022.01); G06N 20/00 (2019.01); G06Q 20/32 (2012.01); G06Q 20/36 (2012.01); G06Q 30/0207 (2023.01); G06Q 30/0601 (2023.01); G06Q 50/00 (2024.01)
CPC G06Q 30/0206 (2013.01) [G06N 10/20 (2022.01); G06N 20/00 (2019.01); G06Q 20/3278 (2013.01); G06Q 20/36 (2013.01); G06Q 30/0207 (2013.01); G06Q 30/0631 (2013.01); G06Q 50/01 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A computer implemented method comprising:
(a) accessing, by a mobile internet device or a mobile wearable internet device of a first user, via a wired network or a wireless network, a web portal enabled by a learning or relearning classical computer, a learning or relearning optical computer, or a learning or relearning quantum computer,
wherein the web portal comprises at least a first user profile associated with the first user and a second user profile associated with a second user,
wherein the learning or relearning classical computer is one or more cloud computers, premise computers, or mobile computers,
wherein the learning or relearning classical computer comprises one or more first microprocessors or one or more first neural network based microprocessors, executing computer readable instructions and one or more machine learning algorithms, on one or more non-transitory computer readable mediums to implement the web portal,
wherein the learning or relearning optical computer comprises one or more photonic neural learning processors, wherein the one photonic neural learning processor includes (i) optically induced phase transition material based memristors, (ii) one or more optical waveguides, or (iii) one or more optical emitter systems, wherein the one or more optical emitter systems are activated by weighted optical signals or weighted electrical signals, executing the one or more machine learning algorithms to implement the web portal,
wherein the learning or relearning quantum computer comprises one or more quantum bits (qubits) executing quantum computer enhanced algorithms or the one or more machine learning algorithms to implement the web portal,
wherein the mobile internet device or the mobile wearable internet device of the first user comprises a wired connector or a wireless transceiver,
wherein the mobile internet device or the mobile wearable internet device of the first user further comprises a second microprocessor or a second neural network based microprocessor,
wherein the mobile internet device or the mobile wearable internet device of the first user is communicatively coupled to a social wallet electronic module of the first user,
wherein the social wallet electronic module of the first user electrically couples with the second microprocessor or the second neural network based microprocessor of the mobile internet device or the mobile wearable internet device of the first user,
wherein the social wallet electronic module of the first user comprising a near-field communication (NFC) component and/or a biometric sensor,
wherein said accessing the web portal comprises:
obtaining a first biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user,
storing the first biometric scan of the first user,
obtaining a second biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user, wherein the second biometric scan of the first user is a current biometric scan of the first user,
comparing the first biometric scan of the first user with the second biometric scan of the first user to authenticate the first user or the social wallet electronic module of the first user;
(b) in response to at least (a), listing or linking, by the first user, a product or a service for purchase on the first user profile in the web portal, wherein the product or the service is linked with augmented reality (AR);
(c) in response to at least (a) and (b), automatically determining, by the web portal, that the first user is interested in purchasing the product or the service;
(d) in response to at least (a), (b) and (c), automatically determining, by the web portal, a near real time location of the first user,
wherein the near real time location of the first user is detected by a location measurement module of the mobile internet device or the mobile wearable internet device of the first user,
wherein the location measurement module is selected from a group consisting of a radio frequency identification (RFID) module, a Bluetooth module, a WiFi module, a global positioning system (GPS) module and an indoor positioning system (IPS) module;
(e) in response to at least (a), (b), (c) and (d), automatically querying, by the web portal, queried sellers offering to sell the product or the service;
(f) in response to at least (a), (b), (c), (d) and (e), automatically selecting, by the web portal, one of the queried sellers, as a selected seller of the product or the service to purchase the product or the service from, based on a distance from the near real time location of the first user;
(g) in response to at least (a), (b), (c), (d), (e) and (f), automatically connecting, by the web portal, the first user with the selected seller,
(h) in response to at least (a), (b), (c), (d), (e), (f) and (g), automatically forwarding, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, in near real time, one or more sale offers to purchase the product or the service, from the selected seller;
(i) in response to at least (a), (b), (c), (d), (e), (f), (g) and (h), automatically accepting, by the web portal, like votes and dislike votes for the selected seller from the first user, the second user and a plurality of third users;
(j) in response to at least (a), (b), (c), (d), (e), (f), (g), (h) and (i), automatically determining a number of the like votes and a number of the dislike votes;
(k) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i) and (j), automatically determining a seller score for the selected seller based on the number of the like votes and the number of the dislike votes by an algebraic equation, a statistical method, a statistical method coupled with conjoint analysis, or an algorithm based on quorum sensing;
(l) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j) and (k), automatically displaying the seller score for the selected seller;
(m) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k) and (l), automatically sending, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, a coupon for purchasing an additional product or service from the selected seller;
(n) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l) and (m), performing at least one of (i) negotiating, by the selected seller with the first user, a price for the product or service or (ii) picking, by the first user, the price for the product or service; and
(o) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l), (m) and (n), automatically accepting, by the web portal, payment by the first user for the product or the service, using the web portal, the first user profile, or the near-field communication (NFC) component of the social wallet electronic module of the first user, based on one or more of the forwarded sale offers,
wherein the said method steps in (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l), (m), (n) and (o) are at least an ordered combination or in an ordered sequence.