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KST | CNN for Exoplanet Transit Detection #94

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Varunshiyam opened this issue Oct 29, 2024 · 3 comments
Closed

KST | CNN for Exoplanet Transit Detection #94

Varunshiyam opened this issue Oct 29, 2024 · 3 comments
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@Varunshiyam
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Varunshiyam commented Oct 29, 2024

  • 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.


Kindly Assign this to me Under :

  • Gssoc-ext🌸
  • hacktoberfest-accepted☘️
  • Level - 3 🚀
@github-actions github-actions bot added enhancement New feature or request gssoc-ext level1 labels Oct 29, 2024
Varunshiyam added a commit to Varunshiyam/ISRO_Mining_Site_FINAL_APP that referenced this issue Oct 29, 2024
Added up my Project file as ipynb
@Varunshiyam
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@Devanik21 Can you assign me this issue under Labels Level-3 , Gssoc-ext

@Varunshiyam
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@Devanik21 I have completed my Issue Kindly review it and Assign me with labels Gssoc-ext , Level-3 .

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github-actions bot commented Dec 6, 2024

Hello @Varunshiyam! Your issue #94 has been closed. Thank you for your contribution!🚀

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