The urban agriculture industry is significantly changing due to scarce resources and the need for sustainable food production. Consequently, we developed a smart IoT-based urban household aquaponic system. This system combines aquaculture and hydroponics to create a close loop ecosystem. Additionally, we have included ESP32-CAM Aquaponic setups with edge computing, environmental sensors for system monitoring, and YOLOv11 visual analytics model for plant health non-destructive assessment. This system can be monitored and controlled via the web with users getting pulses and graphs of system data in their smart phone dashboard. This system has had a good reception in controlled-set trials. As a result, the water management has been complimented for being easy to use and responsive hence reducing the duties significantly. Furthermore, the system has great assets for urban environments, which include the system’s ability to apply artificial intelligence, and its modular and low-cost design, towards the improvement of urban local food sustainability. It uses artificial intelligence and internet of things technology to feed the plants automatically, hence reducing the need for manual work. We would like to contribute to making urban agriculture intelligent and sustainable supporting SDG 2 (Zero Hunger); SDG 6 (Clean Water and Sanitation); and SDG 11 (Sustainable Cities and Communities). We can work towards improved system analysis and urban integration in getting the greatest predictability analytics and the sharper yield engineering of the farm.