This project uses predictive modeling to track and control the spread of invasive water hyacinth at Hartbeespoort Dam. By analyzing weather data and satellite imagery, the system provides real-time updates, an interactive map, and predictive insights for stakeholders like environmental agencies and researchers.

Built with Django and Python, the web-based platform integrates a machine learning model that forecasts hyacinth growth up to seven days in advance. This enables proactive ecological management strategies to mitigate the impact of the invasive species.