The Exoplanet Habitability Analyzer uses machine learning to predict the habitability of exoplanets based on their characteristics. This AI model has been trained on the PHL Exoplanet Catalog, which houses data on real, already discovered exoplanets, to determine habitability potential, saving hours in the lab.
By analyzing features such as planet mass, radius, star age, and other factors, the system provides scientifically grounded predictions about an exoplanet's potential to support life in just seconds, increasing the productivity of scientists and researchers, allowing them to allocate time to more important tasks.
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