{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/ff179a22305440ccbb3b902cae75be66\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/ff179a22305440ccbb3b902cae75be66-9f7c164c031b2a23.gif","duration":295.458,"title":"Wildlife Monitor App Demo: Analyzing Animal Behavior in Video 🦓","description":"In 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."}