Just finished my second ML project — a dungeon generator that actually solves its own mazes

Used unsupervised learning + a VAE to generate playable dungeon layouts from scratch.
Each map starts as a 10×10 grid with an entry/exit. I trained the VAE on thousands of paths, then sampled new mazes from the latent space. To check if they’re actually solvable, I run BFS to simulate a player finding the goal

check it out here: https://github.com/kosausrk/dungeonforge-ml 🙂