The project focuses on the phenology of Aloe Ferox, an endangered plant native to South Africa, by developing a machine learning-based web application that catalogues growth patterns, predicts trends, and assists researchers in documenting sightings.

The system integrates a database that processes user-inputted data and images to classify Aloe Ferox’s phenological stages accurately. The platform enables users to upload images, view growth trends, and access analysis on seasonal variations.