International Journal of Scientific Research and Engineering Development

The search for habitable worlds beyond Earth is one of humanity’s grand quests. As telescopes produce increasing amounts of data, artificial intelligence (AI) and machine learning methods are essential for identifying, filtering, and characterizing potentially habitable exoplanets. This paper explores how artificial intelligence contributes to each step of the detection process-from raw data processing and candidate selection to analysing atmospheres and scoring habitability. We discuss existing successes, challenges, and future possibilities. The aim is to show that AI is not just helpful but necessary for speeding up the discovery of habitable planets.