iOS App: AI Flower Dectection

This flower identification app is a simple iOS application, developed in Swift 5, that makes identifying flower species straightforward and engaging. Leveraging the power of CoreML and the Oxford102 flower model, the app uses the device's camera to capture images of flowers and determine their species. While the model includes only 102 flower species, the app provides the closest match, making it a useful tool for flower enthusiasts and casual users alike. To enhance the user experience, the app also integrates with Wikipedia, fetching detailed information about the identified flower species. Installation is hassle-free, requiring Xcode 12 or higher, Swift 5, and iOS 16.0+.

This app leverages various APIs to enhance its functionality. Specifically, it uses the CoreML API to process images and identify flower species based on the Oxford102 flower model. Additionally, it makes use of API calls to Wikipedia to pull up relevant information about the identified flowers, providing users with a comprehensive understanding of each species. By integrating these APIs, the flower identification app offers a seamless and informative experience for users. The GitHub repository for this project can be found here.