Build an AI Avatar for Real Estate Wholesaling (Pipecat Bot Runner) скачать в хорошем качестве

Build an AI Avatar for Real Estate Wholesaling (Pipecat Bot Runner)

Tired of simple chatbot demos? Learn how to architect a complete, production-ready Voice AI assistant designed for a real-world "We Buy Houses" real estate lead-intake workflow! This video walks through our Pipecat Daily Quickstart repository, showcasing a fully integrated solution that handles real-time voice conversation, context tracking, video avatars, and automated lead follow-up via email. What You'll Learn: End-to-End Architecture: See how to combine several powerful AI services into a cohesive, conversational pipeline using Pipecat's orchestration. Real-Time Media Transport: We use Daily WebRTC for ultra-low-latency, bidirectional audio/video transport, transcription, and meeting room provisioning. Conversational Logic: The backend, driven by Pipecat's bot.py, uses OpenAI's LLM (powered by a system prompt) to act as "Alex," a property-intake agent who collects key data points (name, address, condition, price, etc.). Advanced Turn-Taking: Control the conversation flow using Local Smart Turn Analyzer V3 and Silero VAD for accurate silence detection and non-interruptive speaking. Multimodal Experience: Stream realistic, expressive video avatars using Simli and high-quality Text-to-Speech (TTS) via Cartesia. Automated Lead Funnel: When the conversation ends, the bot automatically summarizes the full transcript and sends a structured lead notification email to the human specialist via SMTP. Microservice Deployment: See how the FastAPI (bot_runner.py) layer provisions Daily meeting rooms, issues tokens, and spawns the core conversational bot process. 🛠️ Core Technologies Used: Orchestration: Pipecat WebRTC/Media: Daily LLM/NLP: OpenAI TTS: Cartesia Video Avatar: Simli Frontend/API: FastAPI & Static HTML Turn-Taking: Local Smart Turn Analyzer V3 + Silero VAD Email: SMTP (for lead notification) This quickstart provides a powerful template for building any complex, multimodal voice application where real-time performance and automated follow-up are critical. Get the Code: https://github.com/jb-akp/pipecat-ful... Pipecat Documentation: https://docs.pipecat.ai/getting-start...