As the "Ears" of the system, Real-time Speech-to-Text (STT) analysis enables parsing captured audio into actionable commands.
As the "Eyes" of the system, video capture and real-time analysis enables face and object detection for real world interactions.
As the "Voice" of the system, Text is translated into speech audio via Text-to-Speech (TTS) libraries that bring the entire system to life.
As the brain of the system, Neural Networks parse intents from translated speech and video sources to send action signals to output peripherals.
Project Karen's distributed approach to I/O means you can start with a single interaction method and grow the Ai-based features to meet your requirements.
Built-in support for networked devices for I/O distribution
Recognizes faces and objects for unique experiences
Add Your Own Skills
Expand functionality by building your own skill modules
Supported by a large community of software developers
Audio and video processing enables human-like interaction
MIT Licensed for all the benefits of GNU without the risks