The Aquatic Weeds Programme (AWP) focuses on predicting and managing water hyacinth growth in Hartbeespoort Dam using a machine learning model. The system leverages historical satellite imagery, weather data, and advanced algorithms to generate accurate predictions of hyacinth distribution.

A user-friendly interface allows water users to input dates and receive targeted recommendations, aiding in navigation and water usage planning. By integrating real-time satellite data, the model enhances environmental monitoring and promotes safer, more efficient dam usage.