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Penguino
Inspiration
Flappy Bird and my Machine Learning class
What it does
It allows a player to enjoy a flappy bird style game.
How I built it
Python and Pygame
Challenges I ran into
-There were so many different ways to display images on the screen -The PyGame library does not have intuitive systems for moving images. I also had to create my own collision system, because Pygame’s system doesn’t work -Lots of trial and error before I created an entity superclass to be able to manipulate images on the screen -PyGame doesn’t have an intuitive system for managing states and creating menus. -I created one main game loop, and then made the game state driven by creating a state class with screen update and user input update functions to be able to handle different situations and then just switched between the different states.
Accomplishments that I'm proud of
- Creating a collision system
- Designing a state-based game with one game loop
- Dynamic, random icicle barriers
- Learning Python
- Engineering an entity system to manipulate images
- Drawing sick graphics
What I learned
- Python
- Machine Learning and Tensorflow is hard
- PyGame is not a good game engine
What's next for Penguino.ai
I want to learn how to use Tensorflow more so that I can create the Reinforcement Learning algorithm to create an AI to play Penguino.ai
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