This paper presents the synthesis result of extreme learning machine (ELM), a machine learning technique, to detect age-related macular degeneration (AMD), an eye disease prevalent in elderly people. The model is trained with optical coherence tomography (OCT) images and a desirable clock period, area, and power is obtained. This is the first of its kind synthesis result of ELM implementation for AMD detection on OCT images.