AI Vocal Dental Receptionist
Role
AI Engineer
Year
2025
Category
AI / Voice
Context
Personal Project
01.
The Problem
Dental clinics face high call volumes for routine tasks like booking appointments and answering FAQs, often leading to missed calls or administrative bottlenecks. Patients expect instant, 24/7 availability which human receptionists cannot provide.
I built a voice pipeline using Python and Pipecat. The system orchestrates OpenAI's GPT-4o for conversational intelligence, Cartesia for ultra-realistic TTS, and Silero VAD for seamless turn-taking. I implemented a RAG system using ChromaDB to retrieve clinic-specific knowledge (prices, policies) and integrated the Google Calendar API for real-time slot checking and booking. A WebSocket server handles the bi-directional audio streams.
02.
The Approach
03. The Result
The result is a fully autonomous voice agent that successfully handles complex scheduling dialogues, reduces administrative load, and provides a warm, human-like interaction experience for patients.