KST | CNN for Exoplanet Transit Detection

[Varunshiyam]

• This project uses deep learning, specifically a Convolutional Neural Network (CNN), to detect exoplanets in star data from the Kepler Space Telescope🔭.

• The data, representing changes in light intensity, is preprocessed using techniques like Gaussian filtering and Fast Fourier Transform (FFT) to enhance features.

• The CNN model is then trained on this data to classify stars as having or not having confirmed exoplanets. The goal is to create a reliable model for exoplanet detection that can be applied to larger datasets in the future.

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Kindly Assign this to me Under :

• Gssoc-ext🌸
• hacktoberfest-accepted☘️
• Level - 3 🚀

[Varunshiyam]

@Devanik21 Can you assign me this issue under Labels Level-3 , Gssoc-ext