An ML classifier web app trained on SDSS dataset which can classify celestial objects based on given user inputs
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Updated
May 4, 2026 - Python
An ML classifier web app trained on SDSS dataset which can classify celestial objects based on given user inputs
The project developed by team Ontohin 4b for NASA Space Apps Challenge 2025. An ML model with proper web interface which can predict exoplanets with given transit data .
This is the Project that was built to detect the co-ordinates of celestial entities
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