Galactic Atlas

Discover new worlds with our open-source Artificial Intelligence designed to identify exoplanets.

What it does

Galactic Atlas identifies exoplanets using machine learning. Discover my other projects to explore the mysteries of AI.

Product Design & Strategy

Galactic Atlas exemplifies cutting-edge product design and strategic innovation, using high level data analysis.
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Development & Engineering

Galactic Atlas exemplifies top-tier development and engineering, leveraging cutting-edge AI technology.
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K-Nearest neighbors

K-Nearest Neighbors (KNN) is a algorithm used for classification and regression tasks. It classifies data points based on their proximity to other labeled points.

Gradient Boosting

Gradient Boosting is a machine learning technique that builds models sequentially, optimizing predictions by minimizing errors iteratively.

What we learned

Four key algorithms took center stage in the research.

Random Forest

Random Forest combines multiple decision trees to enhance accuracy and prevent overfitting, making it ideal for robust classification and regression.

Suport Vector Machine

Support Vector Machines (SVM) are powerful for classification tasks, finding the optimal hyperplane to separate data points into distinct classes.

What we charge

You will get access to machine learning at its finest.

$0.00/month

Our model is proudly free and open-source, ensuring accessibility and transparency for all. With a commitment to innovation and collaboration, we empower users to explore the limitless possibilities of AI. Join us in shaping technology's future.

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"The Universe is pretty big place. If it's just us, seems like an awful waste of space."

Carl Sagan, Astrophysicist

The dataset

+4 years

Of deep space observation by the Kepler Space Telescope.

5.087

Star systems analyzed.

99.87%

Of model accuracy using the K-nearest neighbors algorithm.