Systems and methods for blockchain-based non-fungible token (NFT) authentication

This invention describes a system for authenticating users using unique digital tokens stored on a blockchain. When a user requests authentication, the system gathers various pieces of identification data about them from online sources using data mining. A machine learning model then processes this collected data, hashes it, and combines it to create a singular, dynamic non-fungible token (NFT) which is recorded on a distributed blockchain and used to verify the user's identity with service providers.

Why it matters: Filed before the widespread adoption of advanced machine learning models, particularly large language models, which can now more effectively process and synthesize diverse identification data from web-crawling and data mining. This advancement makes the generation of truly dynamic and robust authentication tokens, as described in the claims, significantly more feasible and sophisticated than in 2022.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, blockchain, data mining

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