ipriyam26/FlyOff

Welcome to our bird training simulator! Here you can observe the birds in real time, and use the genetic algorithm to train them to fly and eat food. Through the process of natural selection, this allows the best birds to survive and evolve over generations.

Flyoff

Flyoff is a project that uses Rust and WebAssembly (WASM) to train virtual birds to get the most food using a genetic algorithm and a custom neural network

fly_vision.mp4

Prerequisites

• Rust
• wasm-pack
• Node.js and npm

Installation

1. Clone the repository: git clone https://github.com/ipriyam26/Flyoff.git
2. Navigate to the project directory: cd Flyoff
3. Build the project: wasm-pack build
4. Link the project: wasm-pack link
5. Install the npm dependencies: npm install

Usage

1. Start the development server: npm run start
2. Open http://localhost:8080/ in your browser to view the simulation.
3. The birds will start to gather food using the Neural Network and Genetic Algorithm

Neural Network

The project uses a custom neural network architecture, which can be found in the src/nn directory. The network takes in the bird's current x and y position, as well as the positions of nearby food, and outputs a prediction for the bird's next move.

Genetic Algorithm

The project uses a genetic algorithm to train the neural network. Each bird has a set of weights for its neural network, and these weights are evolved over time by selecting the birds with the highest food gathering efficiency to breed and pass on their weights to the next generation.

Customization

You can change the parameters of the simulation and the Neural Network by modifying the config.js file

Contributing

If you're interested in contributing to Flyoff, please feel free to open a pull request or an issue.

License

Flyoff is licensed under the MIT license. See LICENSE for more information.