We hypothesize that near real-time monitoring using PTZ CCTV cameras and the YOLOv10 AI algorithm can effectively monitor coral reef restoration, reduce fieldwork, and enable rapid response to disturbances. Our primary focus is to determine if this technology can accurately assess reef health and growth and provide early warnings to stakeholders. We will also evaluate the effectiveness of UV light in monitoring coral spawning and the ability of AI models to track fish and classify coral cover.