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Video Conferencing.

HomecategoryVideo ConferencingPage 3
April 2, 2025
Alice HabitzreuterComments Off on Building an Interactive Emoji Expression Game with LiveKit Video Conferencing

Building an Interactive Emoji Expression Game with LiveKit Video Conferencing

Video conferencing can be more than just communication—it can be an interactive gaming experience! We built a web application that connects players via LiveKit open source video conferencing and challenges them to an emoji-matching game using the FaceAPI for real-time facial expression analysis. We call it “FaceOff”.

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March 19, 2025
Jen OppenheimerComments Off on Watch WebRTC Live #100: Building Interactive Virtual Teammates with AVA Intellect

Watch WebRTC Live #100: Building Interactive Virtual Teammates with AVA Intellect

On March 19, 2025, the milestone 100th episode of WebRTC Live, we showcased an ongoing WebRTC.ventures project that highlights the powerful potential of WebRTC and AI. AVA Intellect is at the forefront of developing AI-powered virtual teammates that seamlessly integrate into Microsoft Teams and other video conferencing platforms—collaborating like

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February 21, 2025
Hector ZelayaComments Off on Implementing Pre-Call Tests for Better Real-Time Communication Experiences

Implementing Pre-Call Tests for Better Real-Time Communication Experiences

Real-time video calls have become the backbone of how we work, learn, and connect. And when users connect, they expect seamless, high-quality communication. Yet many factors can affect call quality – from internet connectivity to device settings to network configurations. While these issues often originate outside the

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February 11, 2025
Alberto GonzalezComments Off on When GPU Matters in WebRTC: Accelerating AI, Video Streaming, and Real-Time Communication

When GPU Matters in WebRTC: Accelerating AI, Video Streaming, and Real-Time Communication

Graphics Processing Units (GPUs) were originally designed to accelerate gaming, enabling complex graphics computations to run in parallel. Unlike Central Processing Units (CPUs), which excel at executing a few instructions at a time with high precision, GPUs are built for massive parallelism—handling thousands of operations simultaneously.  This

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