About AstroCluster
Meet our team tackling the 2025 NASA Space Apps Challenge: Hunting for Exoplanets with AI
AstroCluster
Hunting for exoplanets using artificial intelligence and machine learning to automate the discovery of worlds beyond our solar system.
Our Challenge
A World Away: Hunting for Exoplanets with AI
Data from space-based exoplanet surveying missions like Kepler, K2, and TESS have enabled the discovery of thousands of new planets outside our solar system. However, most of these exoplanets were identified manually by astrophysicists.
Our mission is to create an AI/ML model trained on NASA's open-source exoplanet datasets that can automatically analyze new data to accurately identify exoplanets, complete with a web interface for researchers and enthusiasts.
What We‘re Building
AI/ML Model
Training models on Kepler, K2, and TESS datasets to identify exoplanets with high accuracy
User Interface
Interactive web interface for researchers and novices to upload and analyze exoplanet data
Real-time Analysis
Live predictions with model statistics, confidence scores, and data visualizations
Meet Our Team
Passionate individuals collaborating to advance exoplanet discovery
S.B. Pruthvi
Team Owner
Aditya Kumar Gupta
Developer
Tawhid Bin Omar
Team Member
Our Technical Approach
Data Processing
Utilizing NASA's comprehensive datasets including orbital period, transit duration, planetary radius, and more from Kepler, K2, and TESS missions
Model Training
Implementing ensemble-based machine learning algorithms including Random Forest, XGBoost, and Logistic Regression for high-accuracy classification
Real-time Interface
Building an interactive web platform for CSV uploads, instant predictions, model statistics, and comprehensive data visualizations