This is certainly the simplest and cheapest object detection system that can serve perfectly for the presentation of the possibilities of this technology.

This projects is a Raspberry Pi based A.I Voice Assistant that has high quality Speech To Text (STT) and a nautral and high quality voice (TTS), it uses GPT-4 using the OpenAI Assistants API V2 and has memory by saving the conversation in a JSON File and loading it later.

OpenAI Terminal is an AI-powered voice assistant designed for the Elecrow CrowPanel Advance. It enables real-time communication with OpenAI models via WebRTC, providing hands-free interactions. Users connect via Wi-Fi, authenticate with an OpenAI API key, and access features like live transcriptions and model responses.

This robot is named "ddbot", standing for a mobile differential-drive robot platform. We aim to make it AI-driven, affordable, and supported by comprehensive tutorials for education in AI and robotics. The platform offers guiding examples where users can learn how to develop advanced AI features such as deep learning, computer vision, reinforcement learning, etc on robots.

A embedded camera module using Allwinner H6 CPU and Google Coral TPU for fast AI inference and edge-AI applications, such as using neural network for object detection.