Please describe your proposed solution.
Our solution involves creating a specialized connector to integrate with Shinkai Visor, a tool developed to interact with websites and other applications. This connector will be able to leverage Cardano's data and convert it into vector embeddings that can be used by Large Language Models (LLMs) to perform effective querying. The connector will be able to process data about transactions, DEX prices, and other valuable information present on the Cardano blockchain.
How does your proposed solution address the challenge and what benefits will this bring to the Cardano ecosystem?
Our solution addresses the challenge by converting Cardano's rich data into a format that LLMs can effectively interact with, enhancing the capability of AI to interact with Cardano. This will open up new possibilities for AI in the Cardano ecosystem, such as improving the functionality of DeFi applications, creating more interactive and intelligent DApps, and offering more advanced analytics and insights on Cardano's data. This integration can potentially lead to increased adoption of Cardano due to the enhanced functionalities it offers.
How do you intend to measure the success of your project?
We will measure the success of our project by the number of successful queries made by LLMs using our solution, the quality and relevance of the results returned.
Please describe your plans to share the outputs and results of your project?
We plan to share the outputs and results of our project by open sourcing our solution and providing comprehensive documentation on how to use the Shinkai Visor connector for Cardano. We will also disseminate our results and findings through blog posts and tutorials. This will ensure maximum visibility and adoption of our solution in the Cardano ecosystem.