This repository contains the code and data for the Astronomical Object Classification Project. The project focuses on classifying celestial objects (stars, galaxies, and quasars) based on their spectral characteristics using data from the Sloan Digital Sky Survey (SDSS).

This is an ANN classification algorithm written in R, to be used with a dataset created by the crossmatch of multiple sky surveys, with 23 features across the light spectrum.