This project implements a real-time object detection system using a Raspberry Pi and camera module. It leverages lightweight computer-vision models to identify and track objects at the edge, enabling low-cost, portable, and efficient AI applications. The system is designed for education, automation, and smart-monitoring use cases, demonstrating how embedded AI can deliver accessible, real-world intelligence.