video1.0<iframe src="https://www.loom.com/embed/ff179a22305440ccbb3b902cae75be66" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/ff179a22305440ccbb3b902cae75be66-9f7c164c031b2a23.gif295.458In this demo of the Wildlife Monitor app I built, I show how it processes a YouTube video to monitor wildlife events. After entering a video URL, I analyze a clip featuring zebras, and the app detects and alerts me to various animal entries in real-time. Although it misidentifies some species, it successfully counts 8 zebras and captures sounds from the environment. The analysis provides a detailed event timeline with confidence scores and screenshots for each detected event. I encourage viewers to explore the app's capabilities and consider how it can be used for wildlife monitoring.