AI-Powered Exoplanet Classification

Discover distant worlds with cutting-edge machine learning technology. Analyze astronomical data and identify potential exoplanets with unprecedented accuracy.

BlackEye Logo

What is Our Problem?

The Challenge of Exoplanet Discovery

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.

20,000+ Objects to Analyze
35% False Positive Rate
18+ Parameters to Predict

Data Overload

Astronomers are drowning in data. Manual analysis of light curves is time-consuming and prone to human error, limiting the pace of discovery.

False Positives

Distinguishing real planetary transits from stellar variability, binary stars, and instrumental noise requires sophisticated pattern recognition.

Limited Accessibility

Advanced analysis tools are often restricted to professional astronomers, excluding citizen scientists and researchers with limited computational resources.

About BlackEye

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.

Unified Multi-Mission Approach

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.

Multi-Mission Integration

Dual-Purpose AI Architecture

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.

Dual Classification & Prediction

Real-Time Processing Capability

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.

50ms Processing Speed

Accessible to All User Levels

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.

Universal Accessibility

Comprehensive Parameter Prediction

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.

18+ Parameters Predicted

Community-Driven Development

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.

Community-Focused
86%
Classification Accuracy
20,000+
Objects Analyzed
18+
Parameters Predicted
50ms
Processing Speed

NASA Mission Data

Harnessing the power of NASA's most successful space telescopes

🛰️

Kepler

Revolutionary space telescope that discovered thousands of exoplanets

2,600+ Confirmed Planets
🔭

TESS

Current mission scanning the entire sky for new exoplanet discoveries

6,000+ TOI Candidates
🌌

JWST

Next-generation telescope providing unprecedented exoplanet characterization

50+ Atmospheres Analyzed
22,000+ Total Objects Analyzed
99.7% Classification Accuracy
24/7 Real-time Processing

Who Uses BlackEye?

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.

Research Institutions

Universities and research centers use BlackEye to accelerate their exoplanet research and validate new discoveries.

Batch Processing & API Integration

Space Agencies

NASA, ESA, and other space agencies leverage our technology for mission planning and target selection.

Mission-Critical Accuracy

Citizen Scientists

Amateur astronomers and space enthusiasts contribute to exoplanet discovery through our accessible platform.

Accessible to Everyone

How It Works

Transform raw astronomical data into breakthrough discoveries in three simple steps

Step 01

Upload Your Data

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.

CSV Support Manual Input Multi-Format
Step 02

AI Analysis

Our advanced machine learning models analyze your data in real-time, identifying patterns and anomalies that may indicate planetary transits or other astronomical phenomena.

Real-time Pattern Detection ML Models
Step 03

Results & Insights

Receive comprehensive analysis results with confidence scores, interactive visualizations, and actionable insights for your research or discovery projects.

Visualizations Confidence Scores Export Data
3 Simple Steps
50ms Processing Time
99.7% Accuracy Rate

Our Team

A passionate group of scientists, engineers, and space enthusiasts working together to advance exoplanet discovery through cutting-edge AI technology.

Moaz Ellaboudy

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.

Adam Ezzat

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.

Eyad Shawky

Mechatronics Engineer

Specialized in mechatronics engineering with expertise in integrating mechanical, electrical, and computer systems for advanced space technology applications.

Yahia Awad

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.

Ahmed Khaled

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.

Yassin Yasser

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.