Automating Meeting Intelligence: Build Your Own AI Audio Analyst

This article demonstrates how to build a practical meeting automation system that converts raw audio into structured summaries and action items using open-source models. By combining Whisper for transcription and Llama 3.2 with 4-bit quantization, developers can run advanced AI locally on free GPU resources without relying on expensive proprietary APIs. The approach shows how modern LLM techniques and efficient model optimization make enterprise-grade automation accessible to individual developers.