LiveKit AI Moderation & Safety Console

Real time communication systems need more than simple filters once they are live.

Messages arrive continuously, users interact in shared rooms, and unsafe content must be handled instantly and consistently.

This video demonstrates a LiveKit AI Moderation and Safety Console designed to monitor and moderate real time communication rooms. As messages arrive, they are streamed from a FastAPI backend to the frontend over WebSockets and evaluated by an AI moderation pipeline.

Each interaction is classified into a policy category, assigned a confidence score, and mapped to an action such as allow, warn, mute, or flag. Higher severity content is escalated immediately for human review, while all decisions are recorded for auditability.

The system illustrates how real time decision making and moderation controls can be structured for teams responsible for maintaining safe and reliable communication environments.

Source code and documentation
https://github.com/danishirfan21/LiveKit-AI-Moderation---Safety-Console

Видео LiveKit AI Moderation & Safety Console канала Code to Capital