Transforming complex exoplanet data into immersive, interactive experiences for education and discovery
The universe of exoplanets has grown rapidly, with NASA confirming over 6,000 worlds beyond our Solar System. Despite this acceleration in discoveries—driven primarily by the Transiting Exoplanet Survey Satellite (TESS) and previous missions like Kepler—detailed scientific information about these worlds remains technical, fragmented, and difficult to visualize for the general public and students.
ExoVerse bridges this gap, transforming raw and complex data into an interactive and accessible journey, fulfilling the goal of increasing public engagement and understanding of exoplanet science.
Real-time 3D rendering of exoplanets with scientifically accurate parameters, orbital mechanics, and host star interactions.
Machine learning models generate photorealistic planet textures based on temperature, composition, size, and stellar characteristics.
Live integration with NASA Exoplanet Archive, updated with the latest discoveries from TESS, Kepler, and JWST missions.
The NASA Exoplanet Archive serves as our foundation, providing the comprehensive database of confirmed planets. We integrate data from multiple transit detection missions, including:
Near real-time exoplanet candidates (TOIs - TESS Objects of Interest) discovered by surveying the brightest stars near Earth.
Historical catalogs providing essential time-series data and thousands of confirmed exoplanets from deep space surveys.
Metadata and target information from the most powerful space observatory ever built. JWST is crucial for exploring distant worlds and characterizing the potential for life on planets around other stars.
Note: Canada contributed the NIRISS scientific instrument and FGS guidance sensor to JWST, enabling groundbreaking exoplanet atmospheric studies.
All data is regularly updated as new discoveries are validated and published by the astronomical community.
React framework with server-side rendering and optimal performance
Real-time 3D graphics rendering with WebGL acceleration
Type-safe development for robust code quality
High-performance API for data processing and ML inference
Neural networks for exoplanet classification and texture generation
Real-time access to validated exoplanet data and discoveries
São José do Rio Preto, São Paulo, Brazil
We are a multidisciplinary team of developers and data scientists from São José do Rio Preto (SP), united by the mission to use technology to democratize space science and inspire the next generation of scientists.
Full Stack Developer
AI/ML Engineer
3D Graphics Developer
Data Scientist
Backend Engineer
Processing physical parameters (temperature, size, stellar type) and generating photorealistic planet textures with scientific accuracy.
Building ExoVerse 3D Explorer with Next.js and Three.js, ensuring engaging and high-quality interactive visualization.
Our goal is to demonstrate the potential of NASA's open science initiative and inspire the next generation of scientists by making exoplanet research accessible, engaging, and educational for everyone.
The project that makes the best and most valid use of science and/or the scientific method.
The project that best makes space data accessible or leverages it for a unique application.
Leveraging cutting-edge 3D rendering, AI generation, and real-time data integration to create an unprecedented educational experience.
The project with the most potential to improve life on Earth or in the universe.