What does it do and how does it work?
Star Explorer Vision allows users to explore real Kepler star systems via a 3D star map, select planets, and access detailed data for each one (including 15 scientific Kepler parameters). Users can analyze any planet with a single click, triggering backend AI models that classify its status (planet, candidate, false positive) and provide interpretable confidence scores and light curve visualizations. The comparison tool lets users compare two planets side-by-side, deepening understanding of planetary science.

Benefits & Intended Impact:

Makes complex exoplanet analysis approachable for experts, educators, and newcomers alike.
Encourages hands-on learning, active discovery, and curiosity-driven science on a global scale.
Promotes inclusion through accessible design, glossary tooltips, simple navigation, and device responsiveness.
Inspires and educates users using sci-fi context as well as real scientific achievements.

Tools, Coding Languages, and Tech:

Frontend: Modern web technologies (React, Three.js/WebGL for interactive maps)
Backend: Python with scikit-learn and PyTorch powering the AI models
Supports CSV data uploads and is optimized for Kepler mission datasets.
Responsive design using glassmorphism and minimalistic UI frameworks.

Creativity & Design Choices:

Blended a playful, sci-fi themed user experience with real scientific rigor.
Prioritized inclusivity (accessible color modes, tooltips, tutorials).
Developed a curiosity-fueled 3-step explorer journey, turning users into discoverers—not just viewers.
Focused on transparency and learning with clear data visualizations, side-by-side comparisons, and instant AI insights.

2025 NASA Space Apps Challenge

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