Screenshots
Problem Statement
This project is a Pokemon inspired on-chain game where you can walk around the forest and battle monsters that are becoming smarter over time through machine learning with ZKML. During the battle both the player and the monsters can take different actions like attack, heal and flee. Example future applications of the machine learning model include autonomous agents (monsters) and map generation.
Solution
This project uses the MUD2 library as it's foundation for synchronized on-chain and off-chain in-game activity such as movement, player actions during battle etc. Furthermore the monsters in the game are connected to a ZKML machine learning model which makes them take smarter decisions during the battle encounters with the player.