economy. Current forecasting based on satellite images only addresses 0.6% of all U.S. water bodies. Arjun therefore decided to use machine learning to analyze the huge amount of data already being collected by automated sensors and buoys and predict the development of HABs. He learned that increased global warming and pollution have caused HABs to become more of a problem, at great cost to the U.S. Project Background : Harmful algal blooms (HABs) in water can kill fish, sicken people and close beaches. Arjun was motivated to investigate HABs after a health advisory warning stopped him from visiting a Florida beach during a family vacation. A Machine Learning-Based Innovative Approach for Early Detection and Forecasting of Harmful Algal Blooms (HABs)
