Exploring Local  Environment - Mobile App

Artificial Intelligence (AI) has emerged as a powerful force in the realm of technology, offering innovative solutions and capabilities across various industries. As it relates to the xNature app, AI plays an essential role in redefining how we interact with and learn from the natural world. This revolutionary technology is connected to enable users with the ability to seamlessly identify and gain insights into the various plant and animal species found in their local environment. By integrating AI, specifically ChatGPT, xNature provides users with a seamless and informative experience, offering widespread details about the species they encounter through the lens of their smartphone camera. 

Our team’s project involved developing a mobile app for informal STEM learning on local biodiversity and environmental issues. Spearheaded by Dr. Ying Xie, a Professor in the College of Computing and Software Engineering (CCSE), the app empowers users to explore and identify native plant and animal species. Utilizing their smartphone cameras, users can seamlessly scan, record, and locate local wildlife. The app integrates AI, including ChatGPT, to provide detailed information about the identified species. Following Dr. Xie’s guidance, a GPS feature has been incorporated, revealing both zip codes and approximate locations of identified species, enhancing the depth and context of user discoveries.