Analyze exoplanetary parameters and using astrophysical guardrails and trained machine learning models to detect potentially habitable candidates.

• Adjust Mass, Radius, Orbital Period and Stellar Temp
• Observe dynamic Goldilocks Zone
• Execute ML Analysis to compute metrics

• Students & Educators: Use for learning exoplanetary physics, Kepler's Laws, habitability zones and testing hypotheses interactively.
• Space Enthusiasts: Test "what-if" planetary situations and discover real NASA exoplanet archive dataset.
• Developers: Explore open-source WebGL (Three.js) rendering and test real-time ML inference integration.

• Habitability Screening: Evaluate planetary bulk density and host stellar flux to screen candidate planets against the habitability criteria.
• GoldiLocks Prototype: Models dynamic circumstellar habitable zone boundaries in real-time as stellar effective temperature and luminosity values change.
• Interactive Visualization: Translates complex astronomical survey parameters into high-resolution 3D visual models for intuitive dataset exploration.