Inspiration
Inspiration for this project was its possible application in games, such as making unique maps each time a user or agent plays a game
What it does
This program has 2 different maze generation algorithms, one that makes a perfect maze and one that make a non perfect one, the user gets to pick between the 2
How we built it
Using the depth first search maze algorithm we were able to generate a maze.
Challenges we ran into
Making the non perfect maze was a barrier for us, because removed walls between paths requires a lot more than a simple remove function.
Accomplishments that we're proud of
The code working.
What we learned
How to brainstorm, work collaboratively as a team, and Different types of maze generation algorithms
What's next for Maze generation
Maze generation applications in the real world e.g for pathfinding and helping different agent systems train.
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