This project demonstrates how to build a real-time AI commentator system that can provide live commentary on video streams. The system combines several technologies to create an engaging experience:
- LiveKit for real-time video streaming and WebRTC capabilities
- Cerebrium for running AI vision models to analyze video frames
- Cartesia for natural text-to-speech conversion
- The system receives a video stream through LiveKit's WebRTC infrastructure
- Video frames are captured and processed at regular intervals (every 2 seconds)
- The frames are sent to a vision model deployed on Cerebrium that analyzes the content
- Based on the analysis, the AI generates natural commentary about what it sees
- The commentary is converted to speech using Cartesia's text-to-speech API
- The generated audio is streamed back in real-time through LiveKit
For more details on implementation and setup, check out the full blog post or the frontend code repository.