The Nerthus Project uses Artificial Intelligence (AI) and satellite imagery to combat growing the phenomenon of cyanobacteria blooms in water bodies. These blooms provide serious health and financial problems because of the possibility of water contamination, which is made worse by climate change and human activities close to water sources. The research uses skills in data analytics, remote sensing, and limnology to suggest a novel way to forecast these blooms before they happen. The initiative intends to offer predictive services to beach operators, public health officials, and lake management services through the analysis of satellite imagery and other environmental datasets. In collaboration with the SCALIAN group, and WaterShed Monitoring, the project has created an AI-based system that can identify environmental factors that promote the growth of cyanobacteria.