JOSEPH PROJECT

What it does

Inspired by the story of Joseph of Egypt, who interpreted dreams, the Joseph Project was born with the purpose of anticipating environmental crises in the Amazon. By analyzing vast sets of historical data, NASA satellite data, studies and other diverse real-time data, our model predicts climate and hydrological events, generating important insights, allowing decision makers and local communities to prepare and mitigate the impacts.

How the Gemini API Transforms the Amazon:

Cutting-edge Artificial Intelligence: The Gemini API enables our model to understand and interpret complex patterns in data, identifying correlations and trends that would be difficult to detect using traditional methods.

Continuous Learning: We have developed a model training interface that constantly adapts to new information, improving its predictions and becoming increasingly assertive.

Using Gemini to read, analyze and interpret all the Bayesian Modeling data, PCA Analysis where we created a time series of NASA Landsat satellite readings, collection 9 going from October 2014 to June 2024, so that we collected satellite images always in the months of September, October or November, the height of the drought in the central Amazon. We manipulated each of these images in order to calculate several indexes such as NDWI (difference water index) which is the difference in absorption of red light - the infrared formula NDVI which is the photosynthetic activity index and HSI which is the water stress index.