We gathered information from several biology articles and papers and this acted as our background for this project which we built everything on. for resources we used NASA's data-sets including an SST(sea surface temperature) dataset and a Chlorophyll-a concentration dataset. the biggest challenge we faced was the collection of data and then reading it correctly and understanding it in human terms as it was not formatted and unreadable/understandable to humans and no algorithm could work on it.

We have built a small website using Angular8 that takes longitude and latitude and determine the concentration of chlorophyll in said area on the map. we also use machine learning in python to gather the information about the concentrations and where they exist and eventually as a future plan we will predict algal blooms using several aspects while having the most important two be temperature and presence of nutrients.