Create machine learning systems using Blueprints. Choose from three machine learning algorithms; Classification, Regression, and Dynamic Timewarp. Build a training set by recording your input parameters, train the model with the accumulated examples, and then use the outputs of the running model to drive any in-engine systems or effects you like.

Teach the machine to recognize your movements and controls, and use it to drive your interactive experiences. InteractML was funded by an Epic Megagrant and is entirely open source.

Potential applications include:

• Custom control schemes
• Gesture recognition
• Fuzzy control
• Accessibility tools

Features:

• Use machine learning techniques to drive your interactive experiences.
• Choose from three algorithms: Classification, Regression, and Dynamic timewarp.
• Build machine learning systems using Unreal Blueprints.
• Use supervised learning to train the algorithms based on your chosen inputs.
• Run the trained models to drive the visuals and systems in your world.
• Manage model and training data with custom Asset types and UI.
• Models can be trained and run asynchronously for the smooth operation of your application.
• Model output can be a simple value or a set of configurable structured values.
• Comprehensive demo project available showing off all algorithms and configurations.
• Detailed documentation is available online.
• Helper utility nodes, functions, and blueprints (via demo project).

Demo video of it in action

https://youtu.be/0akTC4pHuh8

We have a discord here: https://discord.gg/Hwyvw2z3qF