Private Offline AI Hub

This project builds a private, offline AI hub using an ESP32 microcontroller as the central processing unit. The system runs lightweight machine learning models locally without requiring internet connectivity, making it ideal for edge computing applications, local inference tasks, and privacy-focused deployments where data never leaves the device.

The guide includes a complete parts list, wiring diagrams for connecting sensors and peripherals, step-by-step assembly instructions, and firmware code to get the AI models running on the ESP32. Builders will learn how to set up TensorFlow Lite or similar frameworks on the microcontroller, optimize models for resource-constrained environments, and integrate local inference into real-world applications.