Show HN: I built a <400ms latency voice agent that runs on a 4gb vram GTX 1650" (github.com)

A developer recently showcased AXIOM, a cutting-edge voice agent specifically designed for robotics labs, capable of operating entirely offline with remarkable real-time responsiveness. Within just 12 hours, the project garnered over 330 clones, indicating strong interest from the AI community. AXIOM integrates advanced speech processing, intent classification, and context-aware interaction using a refined inference pipeline optimized for a modest 4GB VRAM GPU setup. This innovation emphasizes the feasibility of high-performance AI applications on less powerful hardware, potentially democratizing access to sophisticated voice technology. The system features a sub-400ms latency response time, leveraging technologies such as WebSocket communication for instant interactions and a SetFit-based intent recognition model with over 88% confidence. AXIOM's architecture incorporates a multi-turn conversational capability, maintained through FIFO history management, and a unique RAG-powered response generation that combines pre-defined templates with dynamically generated replies. With an interactive 3D visualization component and tools for continuous learning from user interactions, AXIOM stands out as a robust solution for enhancing human-robot communication, positioning itself as a significant advancement in AI/ML for real-time applications in robotics.