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Built a PhysioCare AI Voice Receptionist designed to handle physiotherapy-related conversations through a natural voice interface.
The assistant can interact with users, understand their requests, and support common reception workflows for a physiotherapy service. The project focused on combining voice AI, LLM-based conversation, and backend/API workflows into a practical healthcare application.
Key areas included:
AI voice assistant
Conversational AI
LLM integration
Physiotherapy-focused workflows
Tool/function calling
API integration
Backend workflow development
Voice conversation flow and testing.
awesome,
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Missed calls = lost bookings. So I built an AI receptionist that answers the phone, books appointments, and saves every call with a transcript and summary for your staff.
This is a real working system, not a mockup. In the video: an actual test call, then the staff dashboard and transcript. (Demo uses a fictional dental clinic.)
Try it live: https://receptionist.hamzaabubakar.dev/
I build these for clinics, salons and other appointment-based businesses. If you're losing customers to missed calls, message me here on Contra.
Saving every call with a transcript and summary is the right base for a clinic, because staff can check what the caller actually said. One pattern I'd add is a fast escalation path, so a caller describing urgent symptoms gets routed to a person instead of being booked into a...