Lucas Feliciano
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Projeto Órbita

Exoplanet data analysis and habitability simulation for the NASA Space Apps Challenge.

Year

2025

Role

Team Member / Builder

Status

Hackathon / Prototype

Overview

An intelligent platform built by Team Yulu for the NASA Space Apps Challenge to process and analyze large volumes of exoplanet data, turning NASA's Kepler data into fast, scalable and accessible insights.

Problem

The volume of Kepler data is huge, and turning it into insights quickly enough to be useful is hard for most people.

Built

Machine learning, spectroscopic analysis and orbital modeling behind predictive models, 3D visualizations and real-time habitability simulations, with the goal of democratizing access to science.

Result

Built and delivered with Team Yulu at the NASA Space Apps Challenge 2025.

Stack

Machine Learning · Data Analysis · 3D Visualization · Prototype

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