Search

US-20260127237-A1 - ARTIFICIAL INTELLIGENCE BASED (AI-BASED) SYSTEM AND METHOD FOR GENERATING NON-FUNGIBLE TOKENS (NFTS) IN A BLOCKCHAIN ECOSYSTEM

US20260127237A1US 20260127237 A1US20260127237 A1US 20260127237A1US-20260127237-A1

Abstract

An AI-based system and method for generating non-fungible tokens (NFTs) in a blockchain ecosystem, is disclosed. The AI-based method includes obtaining data associated with textual descriptions and prompts, from communication devices associated with users; generating at least one of: digital artworks comprising images by analyzing the data associated with the textual descriptions and prompts, using an elastic image generator with an AI model and the images through an external image generator, wherein the images are generated by external services through the external image generator using an image generation-based AI model; dynamically generating the NFTs on blockchains based on the images generated using the elastic image generator, and the external image generator with the image generation-based AI model, using the AI model with an NFT generator; and providing the NFTs on the blockchains, as an output, to the users through user interfaces associated with the communication devices of the users.

Inventors

  • Ilan Rakhmanov

Assignees

  • ChainGPT LLC

Dates

Publication Date
20260507
Application Date
20250602

Claims (20)

  1. 1 . An artificial intelligence based (AI-based) method for generating one or more non-fungible tokens (NFTs) in a blockchain ecosystem, the AI-based method comprising: obtaining, by one or more hardware processors, data associated with at least one of: one or more textual descriptions and one or more prompts, from one or more communication devices associated with one or more users; generating, by the one or more hardware processors, at least one of: one or more digital artworks by analyzing the data associated with at least one of: the one or more textual descriptions and the one or more prompts, using an elastic image generator with an artificial intelligence (AI) model, wherein the one or more digital artworks comprise one or more images generated using the AI model comprising an elastic AI model; and the one or more images through an external image generator, wherein the one or more images are generated by one or more external services through the external image generator using an image generation-based AI model; dynamically generating, by the one or more hardware processors, the one or more NFTs on one or more blockchains based on the one or more images generated using at least one of: the elastic image generator with the elastic AI model, and the external image generator with the image generation-based AI model, using the AI model with an NFT generator; and providing, by the one or more hardware processors, the one or more NFTs on the one or more blockchains, as an output, to the one or more users through one or more user interfaces associated with the one or more communication devices of the one or more users.
  2. 2 . The AI-based method of claim 1 , further comprising: obtaining, by the one or more hardware processors, one or more first requests for a process of generating the one or more NFTs, from the one or more communications devices associated with the one or more users; analyzing, by the one or more hardware processors, at least one of: one or more states and one or more statistics, of the one or more users in the process of generating the one or more NFTs, using an application server; and sending, by the one or more hardware processors, data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, to an NFT leaderboard.
  3. 3 . The AI-based method of claim 2 , further comprising: obtaining, by the one or more hardware processors, the data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, from the application server; and generating, by the one or more hardware processors, one or more insights into one or more NFT platforms, based on the data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, using the NFT leaderboard, wherein the one or more insights comprise at least one of: information associated with at least one of: a number of items in an NFT collection and ownership of the one or more NFTs, and one or more recommendations on at least one of: the one or more NFTs with optimized values, the one or more NFTs with demands in current market, and access information associated with at least one of: the one or more NFTs, floor pieces, and trading volume.
  4. 4 . The AI-based method of claim 1 , further comprising: obtaining, by the one or more hardware processors, information associated with one or more credentials from the one or more communication devices of the one or more users; and upon obtaining the information associated with the one or more credentials, authenticating, by the one or more hardware processors, the one or more users to verify whether the one or more users have at least one of: one or more predetermined credits and one or more predetermined tokens for generating the one or more images, while the ownership of the one or more NFTs is managed by the one or more blockchains, using a user and credit management system.
  5. 5 . The AI-based method of claim 1 , further comprising: obtaining, by the one or more hardware processors, the one or more NFTs from the NFT generator; obtaining, by the one or more hardware processors, one or more second requests from the one or more communication devices of the one or more users for collecting the one or more NFTs, wherein the one or more second requests are concurrent requests obtained from the one or more communication devices of the one or more users; arranging, by the one or more hardware processors, the one or more second requests in a queue, using a queuing system; and processing, by the one or more hardware processors, the one or more second requests in an order to provide the one or more NFTs to the one or more users, using the queuing system.
  6. 6 . The AI-based method of claim 1 , further comprising fine-tuning, by the one or more hardware processors, the AI model for at least one of: providing at least one of: one or more user options to generate the one or more digital artworks comprising the one or more images in one or more genres; and optimizing a quality of the one or more NFTs.
  7. 7 . The AI-based method of claim 2 , further comprising adapting, by the one or more hardware processors, the one or more users to automatically integrate one or more Ethereum Virtual Machine (EVM) chains without requiring manual coding, using the application server, wherein the application server is configured to adapt the one or more users to add one or more chain configurations through the one or more user interfaces associated with the one or more communication devices of the one or more users.
  8. 8 . An artificial intelligence based (AI-based) system for generating one or more non-fungible tokens (NFTs) in a blockchain ecosystem, the AI-based system comprising: one or more hardware processors; a memory coupled to the one or more hardware processors, wherein the memory comprises a plurality of subsystems in form of programmable instructions executable by the one or more hardware processors, and wherein the plurality of subsystems comprises: a data obtaining subsystem configured to obtain data associated with at least one of: one or more textual descriptions and one or more prompts, from one or more communication devices associated with one or more users; an NFT generating subsystem configured to generate at least one of: one or more digital artworks by analyzing the data associated with at least one of: the one or more textual descriptions and the one or more prompts, using an elastic image generator with an artificial intelligence (AI) model, wherein the one or more digital artworks comprise one or more images generated using the AI model comprising an elastic AI model; and the one or more images through an external image generator, wherein the one or more images are generated by one or more external services through the external image generator using an image generation-based AI model; an NFT minting subsystem configured to dynamically generate the one or more NFTs on one or more blockchains based on the one or more images generated using at least one of: the elastic image generator with the elastic AI model, and the external image generator with the image generation-based AI model, using the AI model with an NFT generator; and an output subsystem configured to provide the one or more NFTs on the one or more blockchains, as an output, to the one or more users through one or more user interfaces associated with the one or more communication devices of the one or more users.
  9. 9 . The AI-based system of claim 8 , wherein the NFT minting subsystem is further configured to: obtain one or more first requests for a process of generating the one or more NFTs, from the one or more communications devices associated with the one or more users; and analyze at least one of: one or more states and one or more statistics, of the one or more users in the process of generating the one or more NFTs, using an application server; and send data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, to an NFT leaderboard.
  10. 10 . The AI-based system of claim 9 , wherein the NFT minting subsystem is further configured to: obtain the data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, from the application server; and generate one or more insights into one or more NFT platforms, based on the data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, using the NFT leaderboard, wherein the one or more insights comprise at least one of: information associated with at least one of: a number of items in an NFT collection and ownership of the one or more NFTs, and one or more recommendations on at least one of: the one or more NFTs with optimized values, the one or more NFTs with demands in current market, and access information associated with at least one of: the one or more NFTs, floor pieces, and trading volume.
  11. 11 . The AI-based system of claim 8 , wherein the data obtaining subsystem is further configured to: obtain information associated with one or more credentials from the one or more communication devices of the one or more users; and upon obtaining the information associated with the one or more credentials, authenticate the one or more users to verify whether the one or more users have at least one of: one or more predetermined credits and one or more predetermined tokens for generating the one or more images, while the ownership of the one or more NFTs is managed by the one or more blockchains, using a user and credit management system.
  12. 12 . The AI-based system of claim 8 , wherein the NFT minting subsystem is further configured to: obtain the one or more NFTs from the NFT generator; obtain one or more second requests from the one or more communication devices of the one or more users for collecting the one or more NFTs, wherein the one or more second requests are concurrent requests obtained from the one or more communication devices of the one or more users; arrange the one or more second requests in a queue, using a queuing system; and process the one or more second requests in an order to provide the one or more NFTs to the one or more users, using the queuing system.
  13. 13 . The AI-based system of claim 8 , wherein the AI model is fine-tuned for at least one of: providing at least one of: one or more user options to generate the one or more digital artworks comprising the one or more images in one or more genres; and optimizing a quality of the one or more NFTs.
  14. 14 . The AI-based system of claim 9 , wherein the application server is configured to adapt the one or more users to automatically integrate one or more Ethereum Virtual Machine (EVM) chains without requiring manual coding, wherein the application server is configured to adapt the one or more users to add one or more chain configurations through the one or more user interfaces associated with the one or more communication devices of the one or more users.
  15. 15 . A non-transitory computer-readable storage medium having instructions stored therein that when executed by one or more hardware processors, cause the one or more hardware processors to execute operations of: obtaining data associated with at least one of: one or more textual descriptions and one or more prompts, from one or more communication devices associated with one or more users; generating at least one of: one or more digital artworks by analyzing the data associated with at least one of: the one or more textual descriptions and the one or more prompts, using an elastic image generator with an artificial intelligence (AI) model, wherein the one or more digital artworks comprise one or more images generated using the AI model comprising an elastic AI model; and the one or more images through an external image generator, wherein the one or more images are generated by one or more external services through the external image generator using an image generation-based AI model; dynamically generating the one or more NFTs on one or more blockchains based on the one or more images generated using at least one of: the elastic image generator with the elastic AI model, and the external image generator with the image generation-based AI model, using the AI model with an NFT generator; and providing the one or more NFTs on the one or more blockchains, as an output, to the one or more users through one or more user interfaces associated with the one or more communication devices of the one or more users.
  16. 16 . The non-transitory computer-readable storage medium of claim 15 , further comprising: obtaining one or more first requests for a process of generating the one or more NFTs, from the one or more communications devices associated with the one or more users; and analyzing at least one of: one or more states and one or more statistics, of the one or more users in the process of generating the one or more NFTs, using an application server; and sending data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, to an NFT leaderboard.
  17. 17 . The non-transitory computer-readable storage medium of claim 16 , further comprising: obtaining the data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, from the application server; and generating one or more insights into one or more NFT platforms, based on the data associated with at least one of: the one or more states and the one or more statistics, of the one or more users, using the NFT leaderboard, wherein the one or more insights comprise at least one of: information associated with at least one of: a number of items in an NFT collection and ownership of the one or more NFTs, and one or more recommendations on at least one of: the one or more NFTs with optimized values, the one or more NFTs with demands in current market, and access information associated with at least one of: the one or more NFTs, floor pieces, and trading volume.
  18. 18 . The non-transitory computer-readable storage medium of claim 15 , further comprising: obtaining information associated with one or more credentials from the one or more communication devices of the one or more users; and upon obtaining the information associated with the one or more credentials, authenticating the one or more users to verify whether the one or more users have at least one of: one or more predetermined credits and one or more predetermined tokens for generating the one or more images, while the ownership of the one or more NFTs is managed by the one or more blockchains, using a user and credit management system.
  19. 19 . The non-transitory computer-readable storage medium of claim 15 , further comprising: obtaining the one or more NFTs from the NFT generator; obtaining one or more second requests from the one or more communication devices of the one or more users for collecting the one or more NFTs, wherein the one or more second requests are concurrent requests obtained from the one or more communication devices of the one or more users; arranging the one or more second requests in a queue, using a queuing system; and processing the one or more second requests in an order to provide the one or more NFTs to the one or more users, using the queuing system.
  20. 20 . The non-transitory computer-readable storage medium of claim 15 , further comprising fine-tuning the AI model for at least one of: providing at least one of: one or more user options to generate the one or more digital artworks comprising the one or more images in one or more genres; and optimizing a quality of the one or more NFTs.

Description

CROSS REFERENCE TO RELATED APPLICATION(S) This Application is a continuation of a non-provisional patent application filed in the US having Ser. No. 18/939,662, filed on Nov. 7, 2024, titled “ARTIFICIAL INTELLIGENCE BASED (AI-BASED) SYSTEM AND METHOD FOR GENERATING NEWS ARTICLES IN A BLOCKCHAIN ECOSYSTEM”. TECHNICAL FIELD Embodiments of the present disclosure relate to blockchain technology, and more particularly relate to an artificial intelligence based (AI-based) system for generating one or more non-fungible tokens (NFTs) in multi-faceted blockchain ecosystem by leveraging artificial intelligence (AI) and data analysis techniques to streamline processes, improve security, and make blockchain technology more accessible to a diverse user base. BACKGROUND Blockchain technology has gained significant prominence as a decentralized and secure digital ledger system. The blockchain technology underpins various applications, including news aggregation, cryptocurrencies, digital contracts, non-fungible tokens (NFTs), and decentralized finance (DeFi). The distributed nature of blockchain technology ensures transparency and trust among participants, making blockchain technology a cornerstone of innovation in numerous industries. Despite the considerable potential of blockchain technology, it presents challenges for mainstream adoption. For instance, digital contract development demands proficiency in blockchain-specific languages like Solidity, creating a barrier to entry for non-developers and impeding the swift deployment of blockchain solutions. Furthermore, ensuring the security and integrity of digital contracts is of paramount importance, as vulnerabilities result in severe and catastrophic consequences. Additionally, the realm of cryptocurrency landscapes is characterized by instability and complexity, creating hurdles for both investors and enthusiasts seeking to navigate this cryptocurrency landscape. While the cryptocurrency landscape is vital to stay informed about cryptocurrency trends and market data, accomplishing this often requires a significant investment of time and expertise. Moreover, the rise of NFTs has brought about a new and distinctive digital asset category. However, the creation and management of NFTs generally entail proficiency in coding and a deep understanding of blockchain technology. In addition to the challenges in blockchain technology and cryptocurrency management, staying up to date with the rapidly evolving world of blockchain technology and digital currencies is crucial for informed decision-making. The proliferation of news and information on the internet overwhelms individuals seeking reliable and relevant updates on blockchain, cryptocurrencies, and related technologies. There are various technical problems with blockchain technology in the prior art. These technical problems encompass complexities related to digital contract development, which demand expertise in blockchain-specific languages and pose barriers for non-developers. Additionally, the security and integrity of digital contracts present ongoing concerns, as vulnerabilities have severe consequences. The cryptocurrency landscape is marked by volatility and intricacies, making it challenging for investors and enthusiasts to navigate and stay informed about market trends. Moreover, the emergence of NFTs has introduced a unique digital asset class, but the process of creating and managing NFTs typically involves specialized coding skills and blockchain knowledge. Therefore, there is a need for a system to address the aforementioned issues by providing an AI-based system and method to streamline blockchain processes, enhance security, simplify digital contract development, automate NFT management, offer insights into cryptocurrency trends, and facilitate efficient news aggregation. SUMMARY This summary is provided to introduce a selection of concepts, in a simple manner, which is further described in the detailed description of the disclosure. This summary is neither intended to identify key or essential inventive concepts of the subject matter nor to determine the scope of the disclosure. In accordance with an embodiment of the present disclosure, an artificial intelligence based (AI-based) method for generating one or more non-fungible tokens (NFTs) in a blockchain ecosystem, is disclosed. The AI-based method includes obtaining, by one or more hardware processors, data associated with at least one of: one or more textual descriptions and one or more prompts, from one or more communication devices associated with one or more users. The AI-based method further includes generating, by the one or more hardware processors, at least one of: (a) one or more digital artworks by analyzing the data associated with at least one of: the one or more textual descriptions and the one or more prompts, using an elastic image generator with an artificial intelligence (AI) model, wherein the one or more digital artworks comprise one