Built an AI-powered voice receptionist
Anas Kaithakoden
Built an AI-powered voice receptionist system capable of handling real-time phone conversations, answering customer questions, and assisting with appointment booking workflows.
The system combines speech-to-text, large language models, and text-to-speech technologies to create natural voice interactions over phone calls.
Key contributions:
• Built a real-time voice conversation workflow for handling inbound customer calls
• Integrated speech-to-text processing for live voice transcription
• Used AI language models to generate context-aware conversational responses
• Implemented text-to-speech voice generation for natural AI responses during calls
• Developed multi-turn conversation flows for collecting customer information and appointment details
• Built backend logic to manage conversation state and call workflows
• Worked on browser-based softphone integration for handling calls through the web
Tech stack:
• Python
• Flask
• Twilio
• Whisper
• Groq / Llama 3
• ElevenLabs / Edge-TTS
• AI Conversation Systems
• Voice Automation
This project strengthened my experience in voice AI systems, conversational workflows, speech processing, and real-time automation for customer communication.
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Posted May 12, 2026
Built an AI-powered voice receptionist system capable of handling real-time phone conversations, answering customer questions, and assisting with appointment...
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