Python tool for capturing and logging human-computer interactions. Generate rich datasets for training multi-modal LLMs in autonomous computer control. Features screenshot, mouse, keyboard, and audio recording.

This is a helper-project that maps application data (process-name, window-titles) to an activity (e.g. coding, work unrelated webbrowsing, email).

A hand gesture recognition model that can accurately identify and classify different hand gestures from image or video data, enabling intuitive human-computer interaction and gesture- based control systems.

The long awaited sequel to https://github.com/anotherLostKitten/minecraft-hunger-games-sans-3d