🛠️ Built: • Real-time AI voice assistant with natural voice conversations • Live transcript display with chat UI — user and assistant messages shown separately • Animated voice visualizer orb that reacts to speech • Conversation timer showing session duration • HTML conversation download feature ⚙️ Tech Stack: • Frontend — React.js + Vite • Backend — FastAPI (Python) • Voice Infrastructure — LiveKit • Speech to Text — Groq Whisper • AI Brain — Groq LLaMA 3.3 70B • Text to Speech — Deepgram Aura 🚀 Deployment: • Frontend deployed on Vercel • Token Server deployed on Render • AI Voice Agent deployed on Railway ✅ Outcome: • Fully functional voice AI agent accessible via public URL • Any user can open the link and have a real-time voice conversation with AI • Zero manual setup required — fully automated cloud deployment.