This project demonstrates how to integrate CoreML-based object detection into an ARKit augmented reality application. It runs Inception V3 inference on camera frames in real time and uses raycasting to place 3D SceneKit text labels above detected objects. The architecture feeds camera frames to Apple’s Vision framework which drives CoreML inference, then maps classification results back to spatial coordinates in the AR scene.