Nexus Command Center – AI Satellite Mission Control

Real-time AI-powered satellite mission control system that monitors telemetry, detects anomalies, and predicts failures before they happen.

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📡 Nexus Command Center

🚀 Inspiration

We were inspired by the complexity of satellite operations and the risks caused by hardware failures in orbit. Existing systems are mostly reactive, meaning they detect problems only after they occur. This often leads to mission-critical failures and huge financial losses. We wanted to build a system that makes satellite monitoring proactive, intelligent, and predictive.

📡 What it does

Nexus Command Center is a real-time AI-powered satellite telemetry monitoring system that:

Tracks live satellite health parameters like battery, temperature, CPU usage, and signal strength Detects anomalies using intelligent analysis Predicts possible satellite failures before they happen Provides a centralized multi-satellite control dashboard Visualizes satellites in a 3D orbital space around Earth

It helps mission operators make faster and smarter decisions.

🛠️ How we built it

We built this project using a modern full-stack architecture:

Frontend: React (Vite) + Tailwind CSS + Recharts + Three.js
Backend: Node.js + Express.js
Database: MongoDB Atlas + Mongoose
Auth: JWT + Bcrypt
Deployment: Vercel + Render

We used Node Cron to simulate and continuously update telemetry data in real time.

For visualization, we integrated Recharts for analytics dashboards and Three.js for interactive 3D orbital tracking.

⚠️ Challenges we ran into

Handling real-time telemetry updates without UI lag Simulating realistic satellite data without real APIs Integrating 3D visualization with live streaming data Designing scalable architecture for multiple satellites Managing state consistency between frontend and backend

🏆 Accomplishments that we’re proud of

Built a fully functional real-time satellite monitoring dashboard Successfully implemented AI-based anomaly detection logic Created an interactive 3D Earth + orbit visualization system Designed a multi-satellite fleet management interface Deployed a complete full-stack system successfully

📚 What we learned

Real-time full-stack system design Working with data visualization libraries like Recharts Integrating WebGL-based 3D graphics using Three.js Building predictive logic for anomaly detection Managing cloud deployment across multiple services

🔭 What’s next for Nexus Command Center

Integrating real machine learning models for accurate prediction Connecting to real satellite telemetry APIs Adding AI assistant for mission operators Improving anomaly detection using time-series forecasting Scaling system for large satellite constellations (LEO networks)

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