On-Premise Speech AI Receptionist

Wireless, VoIP, Machine Learning (ML), Software Development, Audio Processing, Natural Language Processing, AI Chatbot, AI Development, Voice Agents, Speech Recognition · I need a fully local, speech-to-speech AI receptionist that can receive phone calls on Windows and or Linux machines without relying on any external cloud calls/subscriptions. The assistant must be able to listen to callers, understand their intent, speak back naturally, and—most importantly—handle two core tasks for me:

• Answer customer inquiries in real time for the serivces i provide • Schedule appointments directly into a calendar or booking system

design considerations, hardware requirements as well as training and setup guidance (I will build the hardware myself and learn and understand the software design).

A smooth pipeline—speech-to-text, intent recognition, response generation, and text-to-speech—is essential; you’re free to choose the stack (e.g., Whisper, Vosk, local LLMs, Rasa, Piper-TTS, etc.) so long as everything runs offline on both Windows and Linux.

Deliverables • Source code and install scripts for the complete local stack • An easy way for me to add or edit FAQs and booking rules • Demonstration of the system running on a Windows workstation and a Linux SBC/VM, showing it can field the inquiries above and book an appointment successfully

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