Abstract: Automated Rapid Elephant Population Assessment(REPA) refers to the development of computational tools and algorithms designed to streamline the process of estimating key population parameters of African Savannah Elephants. This automation aims to enhance the accuracy and efficiency of determining the age of individual elephants, which is crucial for understanding population dynamics and implementing effective conservation strategies. Utilizing transfer learning with a pre-trained YOLOv8 pose estimation model, the project leverages existing model knowledge to identify elephants in images and estimate their back length. The developed tool achieved an F1 confidence score of 0.86 for elephant detection and 0.88 for back length estimation. These results offer the Conservation Ecology Research Unit (CERU) a valuable blueprint for creating automated systems to estimate African Savannah elephant populations.