This project is an implementation of the classic Snake game using p5.js, a JavaScript library for creative coding. The snake is controlled by a neural network that is evolved over time using a genetic algorithm, powered by tensorflow.js.

The Snake game involves a snake on a grid that is controlled by a neural network. The snake moves continuously and grows longer as it consumes food items. The objective is to evolve a neural network that can navigate the snake without colliding into itself or the game boundaries.

• Neural network controlled snake.
• Genetic algorithm for evolving the neural network.
• The snake grows longer upon eating food.
• Game ends if the snake collides with itself or the border.

You can access the game by clicking here!

1. Gameplay:
   • The snake moves continuously in the direction determined by the neural network.
   • When the snake eats the food, it grows longer, and new food appears.
   • Avoid collisions with the snake's body or the game border.
2. Game Over:
   • The game ends if the snake collides with itself or the border.
   • Press 'Refresh' to restart the game.

The main components of the code include:

• Snake class: Controls the behavior of the snake.
• Food class: Manages the food items on the game board.
• NNSnake class: A snake controlled by a neural network.
• Brain class: Represents the neural network that controls the snake.
• GameInstance class: Represents a single instance of the game, including the snake, food, and game state.
• GameInstancesManager class: Manages multiple game instances for the genetic algorithm.
• Game loop: Handles the game logic and drawing on the canvas.

• p5.js library
• TensorFlow.js library