This project shows how to prototype a real-time voice AI Android app using Gemini 2.0’s Live API over WebSockets as an open-source proof of concept before committing to full production infrastructure. By combining low-level audio control on Android, duplex audio streaming, and multimodal AI, we built an
Amazon Interactive Video Service Real-Time Streaming (Amazon IVS Real-Time) is a WebRTC-based service for low-latency interactive video applications like video conferencing and live collaboration. Unlike traditional CPaaS platforms that abstract away media handling with higher-level APIs, IVS Real-Time gives developers direct access to WebRTC primitives like MediaStreamTrack
LLMs alone can’t “act.” They generate text. The key to success, and the way to avoid the 80% of AI projects that never leave the prototype stage, is moving beyond conversation to orchestration. This means integrating LLM reasoning with automation frameworks, enabling explainable outcomes and human oversight,
Unlike traditional web applications with simple request-response patterns, real-time communication platforms require a cohesive ecosystem and sophisticated WebRTC tech stack to handle live media streams, manage peer connections, ensure low latency, and have the capability to scale to large numbers of concurrent users. Selecting the right WebRTC
