This repo contains the code I used to study the habitability index ESI and SEPHI for 3 exoplanets.

Full-stack AI system combining physics-based validation and a hybrid CNN-Transformer to classify exoplanets from NASA Kepler light curves.

A focus on the relationships between stellar characteristics, their classification, and the properties of their orbiting planets.

Predicting exoplanets using ML models trained on Kepler data

An Exoplanet parser developed using Node JS which parses exoplanets based on some parameters from the planets data collected by Nasa's Kepler Telescope

🌟 AI-powered exoplanet detection system using NASA data for Space Apps 2025 hackathon. Features BLS/TLS algorithms, machine learning classification, and real-time analysis pipeline. | 使用 NASA 資料的 AI 系外行星偵測系統，專為 2025 太空應用程式挑戰賽開發。

Modelo de Aprendizado Profundo para identificação de Exoplaneta em dado do Telescópio Espacial Kepler.

Using machine learning techniques with Kepler Space Telescope exoplanet search data to train and tune classification models

Are we alone in the universe? Is there life beyond earth? This project explores these questions using NASA's Kepler telescope data

🚀 A little space-exploration using Deno