A deep learning Artificial Intelligence (A.I.) can detect the human behavioral characteristics of a user within a video game. We plan to train an A.I. to understand how humans play video games via a visual machine learning program. Once the program understands how humans play video games based on gameplay footage, we can then feed it the gameplay footage to determine if the player in the footage is receiving assistance from a 3rd party "hack" or "cheat" program.
WALDO is a powerful tool made for public usage. WALDO's opensource development has split into groups for development ease, here are the list of groups;
- Analysis
- Front End
- Infrastructure
To help contribute to WALDO, please visit the WALDO Documentation page. and make sure to comply with the Contributor Agreement.
WALDO Documentation page only...
( Check the GitHub for the latest version. )
As this project is still in development, the installation is not yet complete, however you can build the project from the GitHub application repository in the future (links will be updated in due course).
Download or clone the GitHub application repository (check releases) to download or help with the development of WALDO.
$ yarn$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
$ yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.