🤖AI-Assisted Front Page of Crypto

The idea of using natural language processing (NLP) and machine learning (ML) to interact with smart contracts and onchain data has the potential to revolutionize how we use blockchain technology.

By using natural language, non-technical users will be able to use blockchain technology without needing to understand its underlying technical complexities.

For example, a user could type a command such as "convert my non-stable assets in this wallet into stablecoins and deposit them evenly into the 5 safest yield-generating pools you can find."

The NLP model could then translate this into code that interacts with the relevant smart contracts and onchain data to execute the user's request.In addition, reading unparsed on-chain transactions and producing a human-readable translation would enable financial analysis, auditing and compliance, making the technology more accessible to a larger userbase.

However, research and development is needed to ensure accuracy, security and privacy of both the NLP and ML models and the data processed.

The implementation of this technology would be beneficial to both users and the industry.

Example, an user could type a command such as "convert my non-stable assets in this wallet into stablecoins and deposit them evenly into the 5 safest yield-generating pools you can find." An NLP model trained to understand this type of command could then translate it into code that interacts with the relevant smart contracts and onchain data to execute the user's request.

In addition to translating natural language commands into code, NLP and ML could also be used in the opposite direction, by reading and summarizing the functionality of smart contracts and onchain data in a way that is understandable to non-technical users. This could involve reading the onchain activities of a given wallet address and identifying the holder as an "NFT whale," "DeFi degen," or "highly creditworthy," for example.

Moreover, reading unparsed on-chain transactions and producing a human-readable translation would make it more understandable and accessible to a larger userbase. It would enable financial analysis, auditing and compliance.