Ai voice bot

Inspiration

What it does

1. The Modern Architecture (The "Ears-Brain-Voice" Loop)

To build a bot that feels human, you must minimize latency. In 2026, the standard is a Streaming Pipeline where components process data simultaneously rather than sequentially deHow we built itThe Ears (STT/ASR): Use Streaming Speech-to-Text. Systems like Deepgram or AssemblyAI now provide "partial transcripts" in real-time, allowing the brain to start "thinking" before the user even finishes their sentence.
The Brain (LLM): Use models with Native Realtime APIs (like GPT-4o Realtime or Gemini 1.5 Flash). These models are optimized for low-latency tokens and can trigger Tools/Functions (e.g., "Check my database for a booking") mid-conversation.
The Voice (TTS): Use Expressive, Low-Latency TTS like ElevenLabs or Cartesia. You want "Time to First Byte" (TTFB) under 200ms so the bot begins speaking immediately.

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Ai voice bot

Built With

• base
• cloud
• java
• python
• sql