This project focuses on using machine learning to classify pulsar stars based on radio emission patterns. Pulsar stars, a rare type of neutron star, emit detectable radio emissions as they rotate. Identifying these pulsar candidates amidst noise and interference is crucial for astronomical research. Machine learning algorithms, particularly classification models, are employed to automatically label pulsar candidates and facilitate rapid analysis.