Exchron is a student-led initiative based in Sri Lanka, created by a group of high school students passionate about space science and artificial intelligence. It is a one-of-a-kind resource network designed to make exoplanet science and machine learning accessible to students, researchers, and enthusiasts alike.

Through Exchron, users can learn about exoplanets, analyze real NASA data, and build or train machine learning models to classify exoplanets—all through an integrated web platform.

• Main Site: exchronai.earth Central hub that connects all parts of the Exchron ecosystem.

• Dashboard: dashboard.exchronai.earth A powerful interface for analyzing exoplanet datasets and applying machine learning techniques such as CNN, DNN, and SVM, or building custom neural networks directly through a graphical interface.

• Documentation: docs.exchronai.earth Comprehensive technical documentation explaining the platform’s architecture, tools, and workflows to help users fully utilize Exchron’s capabilities.

• Learn: learn.exchronai.earth An interactive educational portal for newcomers to explore exoplanet science, understand detection methods, and interact with confirmed exoplanets in 3D.

Exchron’s mission is to bridge space science and emerging technologies, empowering students and enthusiasts to explore real scientific data through intuitive tools. By combining machine learning with astronomical datasets, we aim to make exoplanet research more accessible, hands-on, and impactful.