The aim of our project is to develop PredX, an AI multi-chain prediction market platform designed to provide model creators with a robust environment to test and optimize their AI models using real-world event data. The project involves building an intuitive platform that offers accurate and realistic evaluation reports, allowing users to refine their models and gain professional recognition in the AI industry. Additionally, PredX features a marketplace where high-performing models can be shared and traded, offering model creators a viable path to monetization. A significant challenge is to seamlessly integrate complex real-world data across multiple blockchain networks while ensuring a user-friendly experience. Another key objective is to foster a collaborative community where AI researchers and developers can share insights, learn from each other, and enhance the overall innovation in the AI field.
I worked as a lead product Designer with 3 designers in 2 months to redesign the AI language model prediction platform, explore function including major features of agent assessment through multiple rounds of interviews and user storyboard that support creators demands and ultimate goals.
Designed and Coded by Xinran Yao
