The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is the development of a humane, AI (artificial intelligence)-powered wildlife deterrent system that helps farmers, gardeners, and land managers prevent crops and landscape damage without relying on fences, chemicals, or lethal methods. Wildlife-induced losses billions annually for mid-sized farms—create a significant economic burden and discourage entry by new and small-scale growers. This innovation offers an affordable, scalable alternative using computer vision and behavior-informed, non-lethal acoustic deterrence. It promotes biodiversity, reduces chemical runoff, and improves land access. By integrating open-source tools, behavior modeling, and real-time sensing, the system fosters public engagement, supports AI literacy, and enables interdisciplinary learning. This technology has global potential to advance food security, climate resilience, and ecosystem stewardship in both developed and resource-limited regions. This Small Business Innovation Research (SBIR) Phase I project addresses the growing challenge of wildlife-related crop loss and landscape damage by developing a non-invasive, AI (artificial intelligence)-powered deterrence system. Traditional solutions like fencing and chemical sprays are costly, ineffective at scale, and often harmful to the environment. This project aims to create an edge-based, modular system that detects wildlife using computer vision, local