Invention Title:

Interactive Artificial Intelligence System For Blockchain Transactions

Publication number:

US20240303634

Publication date:
Section:

Physics

Class:

G06Q20/3674

Inventor:

Applicant:

Drawings (4 of 5)

Smart overview of the Invention

An interactive artificial intelligence system has been developed to facilitate blockchain transactions through communication devices. Users can initiate transactions and better understand blockchain code thanks to a comprehensive architecture that includes portable computing devices, messaging systems, servers, and a natural language understanding unit (NLU). This NLU employs deep neural networks to interpret user commands accurately and perform actions related to blockchain transactions.

Field of Invention

This technology sits at the intersection of artificial intelligence and blockchain, focusing on the use of natural language understanding to streamline transaction initiation via communication devices. By simplifying complex processes, it enhances user interaction with blockchain technology.

Background and Context

The rapid advancement of technology, especially in communication and information systems, has significant implications for blockchain. Integrating AI into this domain can optimize service delivery, improve efficiency, and enhance access. The proposed system aims to automate various processes within the blockchain sector, such as transaction handling and payment services, thereby transforming how users engage with blockchain networks.

Functionality of the System

The system allows users to communicate their intents through simple messages, which the NLU interprets to initiate specific blockchain actions like currency swaps or transfers. Upon processing a transaction request, the system provides clear feedback, including transaction details like IDs and amounts. This clarity ensures users are well-informed about their transactions.

Predictive Interface Capabilities

The system features a predictive interface that analyzes user behavior to anticipate future actions. By leveraging machine learning algorithms, it can offer personalized suggestions and predictions regarding transactions. This adaptability enhances user experience by making interactions more intuitive and efficient over time.