Building a Local AI Information-Gathering Phone Line https://youtu.be/Yodq7gG_F3IModern voice agents are often presented as cloud services: a caller speaks, a remote platform transcribes the audio, a hosted language model generates a response, and another service synthesizes the reply.For this project, I wanted to explore a different approach.The goal was to build a locally controlled conversational phone-line prototype capable of gathering structured information from a caller while maintaining context throughout the interaction.The system uses a locally hosted Gemma 4 model for dialogue, local speech recognition for transcription, and Kokoro 82M for text-to-speech. A custom Python application coordinates the entire interaction and presents it through a phone-style interface.The result is an automated intake agent named Eva.The Test ScenarioFor the demonstration, Eva was configured to behave like a corporate information-gathering agent.The caller began with a simple greeting. Eva then ...
Building a Local AI Information-Gathering Phone Line https://youtu.be/Yodq7gG_F3IModern voice agents are often presented...
