This app is called Floweret. It was built as the capstone project for Udacity’s iOS Developer Nanodegree. The app allows a user to take photos of flowers and save them into their collection using Firebase Storage. Once it is in their album, the app will use a machine learning model such as a FlowerClassifier to recognize the flower in the photo and display it's Wikipedia image and name. When the user selects that photo, it will open Safari within the app showing the Wikipedia information of the flower.
This app is called Floweret. It was created as part of the capstone project to complete Udacity’s iOS Developer Nanodegree program.
Floweret allows users to easily login to access the app’s main features while allows for easily registering as a new user as well.
Floweret enables users to capture photos of flowers that they come across. If they want to know more about that flower, the user can choose to save that photo to their album. While looking at the album, a machine learning model of a Flower Classifier will recognize the flower in the photo and Floweret will use Wikipedia to display an image and name of the flower’s origins.
Lastly, if the user wants additional information on the flower’s origin, they can select the photo in the album and Safari will open within the app displaying the Wikipedia page for the flower.