Abstract

Birds are an integral part of our ecosystem, playing diverse roles in pollination, seed dispersal, pest control, and ecological balance. Monitoring bird populations and identifying species are crucial for understanding biodiversity, assessing ecosystem health, and implementing conservation strategies. Traditionally, bird species identification has relied on manual observation, which requires significant expertise and time. However, this process is often prone to human error and inefficiency, especially when distinguishing between visually similar species. As global biodiversity faces increasing threats, there is a pressing need for innovative and automated solutions that can accurately identify bird species.