High-level solution framework used to resolve the issue
The user interface was developed with angular js, using an ionic framework. Moreover, the backend APIs were created with python. The solution functions by performing image processing on the lion images uploaded to the system. Different AI algorithms, such as binary classifier to identify lion, facenet to match lion image with an existing database, and whisker spot detection are used.
The images are saved in the database and can be viewed in the lion details section. In addition, the application is integrated with Google Maps to enable it to locate lions on a map. Another advantage is that the medical history of lions can be downloaded in excel format.