Exoplanet-Detection-using-CNN and Exoplanet-Detection-using-Deep-Learning

About Exoplanet-Detection-using-CNN

Pr0-C0der/Exoplanet-Detection-using-CNN

The project aims to leverage machine learning techniques to analyse the flux data and accurately classify stars as either exoplanet-hosting or non-exoplanet-hosting. By training a model on the provided dataset, we seek to uncover patterns and features indicative of exoplanet presence, enabling the model to make predictions on unseen data.

This project helps astronomers and astrophysicists analyze stellar light data to efficiently identify stars that host exoplanets. By feeding in flux data, which measures changes in a star's light intensity over time, it predicts whether an exoplanet is likely orbiting that star. This tool is designed for researchers who process large volumes of astronomical observations to find new exoplanets.

About Exoplanet-Detection-using-Deep-Learning

babershahzad/Exoplanet-Detection-using-Deep-Learning

🔭 Analyze NASA Kepler data using deep learning to detect exoplanets, leveraging innovative techniques for improved astronomical findings.