Discover distant worlds with cutting-edge machine learning technology. Analyze astronomical data and identify potential exoplanets with unprecedented accuracy.
The search for exoplanets faces unprecedented challenges in the era of big data astronomy. With missions like Kepler, TESS, and JWST generating terabytes of light curve data, traditional analysis methods are overwhelmed by the sheer volume and complexity of information.
Astronomers are drowning in data. Manual analysis of light curves is time-consuming and prone to human error, limiting the pace of discovery.
Distinguishing real planetary transits from stellar variability, binary stars, and instrumental noise requires sophisticated pattern recognition.
Advanced analysis tools are often restricted to professional astronomers, excluding citizen scientists and researchers with limited computational resources.
BlackEye represents the cutting edge of astronomical data analysis, combining NASA's extensive exoplanet datasets with state-of-the-art machine learning techniques. Our platform empowers researchers, astronomers, and space enthusiasts to discover and classify exoplanets with unprecedented accuracy.
Unlike traditional tools that focus on single missions, BlackEye integrates data from multiple NASA missions (Kepler, TESS, JWST) into a unified analysis platform, providing comprehensive insights across different observational techniques and time periods.
Our innovative model performs both classification (CONFIRMED/CANDIDATE/FALSE_POSITIVE) and parameter prediction (18+ scientific measurements) simultaneously, reducing computational overhead while providing comprehensive analysis in a single pass.
With processing speeds of ~50ms per object, BlackEye enables real-time analysis of astronomical data, making it suitable for live mission support and rapid response to new discoveries as they happen.
From professional astronomers to citizen scientists, BlackEye's intuitive interface and comprehensive documentation make advanced exoplanet analysis accessible to users with varying technical backgrounds, democratizing space science.
Beyond simple classification, BlackEye predicts 18+ scientific parameters including orbital period, planet radius, equilibrium temperature, and stellar properties, providing researchers with detailed characterization data for further analysis.
Built by a diverse team of scientists, engineers, and space enthusiasts, BlackEye incorporates feedback from the astronomical community and continuously evolves to meet the changing needs of exoplanet research.
Harnessing the power of NASA's most successful space telescopes
Revolutionary space telescope that discovered thousands of exoplanets
Current mission scanning the entire sky for new exoplanet discoveries
Next-generation telescope providing unprecedented exoplanet characterization
From professional astronomers to citizen scientists, BlackEye serves a diverse community of space enthusiasts and researchers who are pushing the boundaries of exoplanet discovery and analysis.
Universities and research centers use BlackEye to accelerate their exoplanet research and validate new discoveries.
NASA, ESA, and other space agencies leverage our technology for mission planning and target selection.
Amateur astronomers and space enthusiasts contribute to exoplanet discovery through our accessible platform.
Transform raw astronomical data into breakthrough discoveries in three simple steps
Upload your astronomical data in CSV format or use our intuitive manual input interface. Our system supports multiple data formats from various telescopes and missions.
Our advanced machine learning models analyze your data in real-time, identifying patterns and anomalies that may indicate planetary transits or other astronomical phenomena.
Receive comprehensive analysis results with confidence scores, interactive visualizations, and actionable insights for your research or discovery projects.
A passionate group of scientists, engineers, and space enthusiasts working together to advance exoplanet discovery through cutting-edge AI technology.
Team Lead, AI & Backend Developer
Leading the team in developing innovative AI solutions and backend systems for exoplanet discovery and classification. Expert in machine learning algorithms, backend architecture, and space data analysis.
Frontend & System Developer
Frontend developer and system architect with expertise in creating responsive web applications and system integration. Focused on building robust frontend systems and ensuring seamless integration with backend services.
Mechatronics Engineer
Specialized in mechatronics engineering with expertise in integrating mechanical, electrical, and computer systems for advanced space technology applications.
Hardware Engineer
Hardware specialist focused on designing and implementing electronic systems for space applications. Expert in circuit design, embedded systems, and hardware optimization for astronomical instruments.
Hardware Engineer
Hardware engineer specializing in electronic systems design and implementation for space technology. Expert in circuit analysis, component selection, and hardware testing for astronomical applications.
Presentation & UI/UX Designer
Specialized in presentation design and UI/UX for space technology projects. Expert in creating compelling visual presentations and designing intuitive user interfaces with exceptional user experiences.