Mission Briefing

HNOVA: AI-Powered Exoplanets

Harness the power of machine learning to classify and discover potential exoplanets across the cosmos.

How We Built It

A systematic approach to solving exoplanet habitability classification

Challenge

Identifying habitable exoplanets from vast astronomical datasets with high accuracy

Model Training

Training deep learning models on planetary characteristics and stellar properties

Validation

Rigorous testing and validation against known exoplanet classifications

Tech Stack

Built with cutting-edge technologies for optimal performance

🐍

Python

🧠

TensorFlow

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Next.js

🎨

Tailwind CSS

✨

Framer Motion

🌍

React Globe

🟢

Node.js

🔥

PyTorch

Model Fidelity

Industry-leading accuracy in exoplanet habitability classification

97%

Accuracy negative

93%

Accuracy positive

95.161%

Precision

95.624%

Recall

93.1%

F1 Score

Ready to Explore?

Start classifying exoplanets and contribute to the search for habitable worlds