Exoplanet discoveries have moved beyond traditional observation, becoming a cornerstone of data science and advanced visualization. This article examines how raw data from NASA’s Kepler and James Webb Space Telescope (JWST) are analyzed using Artificial Intelligence (AI) and transformed into photorealistic worlds through 3D modeling techniques.

• Key Sections:

  1. From Data to Image: Using Deep Learning to filter “Light Curves” and identify planetary transits with 96% accuracy.

  2. Atmospheric Spectroscopy: Analyzing filtered light to detect water vapor, methane, or CO2.

  3. Procedural 3D Modeling: Utilizing engines like Unity or Unreal to turn physical parameters (temperature, pressure) into planetary textures and environments.

  4. Future Vision: Transitioning from “observing” to “experiencing” space through VR (Virtual Reality) and Digital Twin technologies.