Autonomous AI-Powered Space Traffic Management Platform
Mission Control. Real-time collision prediction. Multi-agent AI. Built for the final frontier.
Live Demo ยท Judge Mode ยท Docs ยท Hackathon
| Landing Page | Mission Control Dashboard |
|---|---|
 |
 |
| Earth Visualization | AI Agent System |
|---|---|
 |
 |
| Kessler Cascade Simulator |
|
SpaceSafe X is a mission-control-grade AI platform that autonomously monitors orbital traffic, predicts satellite collisions, simulates Kessler syndrome cascades, and generates avoidance maneuvers โ all in real-time.
The platform combines a multi-agent AI system (5 specialized agents via LangGraph), a 3D Earth visualization (CesiumJS), and a live threat dashboard to give operators immediate situational awareness of the space environment.
"Protecting orbits. Ensuring tomorrow."
Earth orbit is rapidly becoming a collision crisis zone:
- 34,000+ tracked objects currently in orbit
- 1,000,000+ debris fragments too small to track but large enough to destroy satellites
- $300B+ in satellite infrastructure at existential risk
- A single high-energy collision can generate thousands of new debris fragments
- Cascading collisions can render entire orbital shells permanently inaccessible (Kessler Syndrome)
Existing space traffic management is manual, slow, and reactive. SpaceSafe X makes it autonomous, instant, and proactive.
- CesiumJS-powered photorealistic globe with real satellite TLE data
- Live orbital paths with animated satellite positions
- Atmospheric glow, cloud layer, day/night terminator, city lights
- Interactive satellite selection and real-time telemetry readouts
- Risk zone heatmap overlay showing conjunction hotspots
- Real-time conjunction analysis for all tracked object pairs
- Probability of collision (Pc) computation with confidence intervals
- Miss distance calculation and time-to-impact countdown
- Status classification:
critical/warning/low
- 5 specialized AI agents operating through a LangGraph pipeline
- Agents collaborate sequentially to produce autonomous decisions
- Explainable reasoning โ every decision logged with confidence scores
- Average pipeline execution time: < 10 seconds
- Simulate a full orbital debris cascade event in real-time
- Side-by-side: Without AI vs With AI Intervention
- Risk heatmap overlay, explosion flash effects, debris particle system
- Typical AI result: 93.6% risk reduction, 44 collisions prevented
- One-click 30โ45 second guided product demonstration
- Auto-advances through all 7 platform stages with cinematic transitions
- Accessible from navbar, hero section, and dashboard
- No user interaction required โ ideal for live demos and evaluations
- Bloomberg Terminal-level information density
- Mission Summary panel: threats, collisions prevented, risk reduction
- Live threat center with countdown timers and AI maneuver readouts
- Animated stat cards, orbital distribution, 24h activity sparkline
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ SpaceSafe X โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ Frontend (Next.js 16 ยท TypeScript ยท Tailwind CSS 4) โ
โ Landing ยท Dashboard ยท Earth View ยท AI Agents ยท Kessler ยท Coll โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ API Layer (Next.js API Routes) โ
โ /api/satellites /api/debris /api/collision-predictions โ
โ /api/ai/agent-pipeline /api/simulations/kessler โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ AI System (LangGraph + Google Gemini / OpenAI) โ
โ Debris โ Orbit โ Fuel โ Mission โ Commander โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ Data (MongoDB Atlas ยท Space-Track.org TLE data) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Threat Detected
โ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 1. DEBRIS AGENT ๐ก โ Analyzes debris objects &
โ tracking & analysis โ generates proximity report
โโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ
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โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 2. ORBIT AGENT ๐ต โ Computes avoidance maneuvers,
โ trajectory & maneuver โ checks secondary conjunctions
โโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ
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โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 3. FUEL AGENT ๐ข โ Calculates ฮV cost, optimizes
โ propellant optimization โ propellant usage
โโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ
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โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 4. MISSION AGENT ๐ฃ โ Assesses mission impact,
โ continuity & operations โ crew safety, comm windows
โโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 5. COMMANDER AGENT ๐ท โ Final decision authority,
โ synthesis & decision โ generates maneuver command
โโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ
โผ
Autonomous Maneuver Command
(< 10 seconds)
| Layer | Technology | Why |
|---|---|---|
| Framework | Next.js 16 (App Router) | Server components, API routes, Turbopack |
| Language | TypeScript 5 (strict) | Type safety across the entire codebase |
| Styling | Tailwind CSS 4 | Utility-first with CSS variable design tokens |
| 3D Earth | CesiumJS + Resium | Industry-standard geospatial 3D globe |
| Animation | Framer Motion (motion/react) | Physics-based declarative animations |
| AI Pipeline | LangGraph | Multi-agent graph orchestration |
| AI Model | Google Gemini / OpenAI GPT-4 | State-of-the-art reasoning for space ops |
| Database | MongoDB Atlas | Flexible document storage for orbital data |
| Auth | Firebase Auth | Secure, scalable authentication |
| Deployment | Vercel | Zero-config Next.js deployment |
| Icons | Lucide React | Consistent, lightweight icon library |
| Fonts | Orbitron ยท Space Grotesk ยท Inter ยท JetBrains Mono | Aerospace identity typography |
spacesafexx/
โโโ src/
โ โโโ app/
โ โ โโโ (app)/ # Authenticated app routes
โ โ โ โโโ dashboard/ # Mission control dashboard
โ โ โ โโโ earth-view/ # 3D Earth visualization
โ โ โ โโโ ai-agents/ # AI agent operations center
โ โ โ โโโ kessler-simulator/ # Cascade simulation
โ โ โ โโโ collision-engine/ # Collision prediction engine
โ โ โโโ api/ # Next.js API routes
โ โ โ โโโ satellites/
โ โ โ โโโ debris/
โ โ โ โโโ collision-predictions/
โ โ โ โโโ ai/
โ โ โ โ โโโ agent-pipeline/
โ โ โ โ โโโ avoidance-maneuver/
โ โ โ โโโ missions/
โ โ โ โโโ simulations/kessler/
โ โ โโโ globals.css # Design system tokens
โ โ โโโ layout.tsx # Root layout + fonts
โ โ โโโ page.tsx # Landing page
โ โโโ components/
โ โ โโโ ui/ # Core UI components
โ โ โ โโโ button.tsx
โ โ โ โโโ card.tsx
โ โ โ โโโ badge.tsx
โ โ โ โโโ stat-card.tsx
โ โ โ โโโ agent-card.tsx
โ โ โ โโโ progress.tsx
โ โ โโโ earth/
โ โ โ โโโ earth-view.tsx # CesiumJS component
โ โ โ โโโ earth-fallback.tsx # CSS/SVG fallback
โ โ โโโ layout/
โ โ โโโ navbar.tsx
โ โ โโโ footer.tsx
โ โโโ lib/
โ โ โโโ utils.ts # Utility functions
โ โ โโโ config.ts # App configuration
โ โ โโโ demo-data.ts # Demo data generators
โ โโโ types/
โ โโโ index.ts # TypeScript definitions
โโโ docs/
โ โโโ summary.md # Technical documentation
โโโ screenshots/ # Add your screenshots here
โโโ public/ # Static assets
โโโ README.md
โโโ .gitignore
โโโ package.json
โโโ tsconfig.json
- Node.js 18.0 or higher
- npm 9.0 or higher
- MongoDB Atlas account (for production data)
- Google Gemini API key or OpenAI API key
# Clone the repository
git clone https://github.com/omkar-103/spacesafexx.git
cd spacesafexx
# Install dependencies
npm install
# Copy environment variables
cp .env.example .env.local
# Start development server
npm run devOpen http://localhost:3000 in your browser.
Create a .env.local file:
# Database
MONGODB_URI=mongodb+srv://username:[email protected]/spacesafexx
# AI (choose one or both)
GOOGLE_GEMINI_API_KEY=your_gemini_api_key_here
OPENAI_API_KEY=your_openai_api_key_here
# Firebase Authentication
FIREBASE_API_KEY=your_firebase_api_key
FIREBASE_AUTH_DOMAIN=your_project.firebaseapp.com
FIREBASE_PROJECT_ID=your_project_id
FIREBASE_STORAGE_BUCKET=your_project.appspot.com
FIREBASE_MESSAGING_SENDER_ID=your_sender_id
FIREBASE_APP_ID=your_app_id
# Space-Track.org (for real TLE data)
SPACE_TRACK_USERNAME=your_username
SPACE_TRACK_PASSWORD=your_password
# App Configuration
NEXT_PUBLIC_APP_URL=http://localhost:3000
NEXT_PUBLIC_DEMO_MODE=trueJudge Mode is a 60โ90 second automated guided experience that demonstrates the entire platform without any user interaction.
- Navbar โ Click
โถ JUDGE MODEbutton (always visible, top-right) - Landing Page โ Click
Watch Live Demoin the hero section - Dashboard โ Click
JUDGE MODEin the action bar - Floating Button โ Always visible bottom-right on all pages
| Step | Duration | What Happens |
|---|---|---|
| 1 | 8s | Earth telemetry lock โ scanning 34,247 tracked objects |
| 2 | 10s | Threat detected โ ISS ร Fengyun-1C fragment conjunction |
| 3 | 10s | Collision prediction โ P(c), miss distance, ฮV computed |
| 4 | 15s | AI pipeline activates โ all 5 agents run sequentially |
| 5 | 12s | Avoidance maneuver ready โ fuel cost and confidence |
| 6 | 15s | Kessler cascade simulated โ 44 collisions prevented |
| 7 | 12s | Mission success โ final metrics displayed |
# Install Vercel CLI
npm i -g vercel
# Deploy to production
vercel --prodOr connect your GitHub repository to Vercel Dashboard for automatic deployments.
Set all environment variables under Settings โ Environment Variables in your Vercel project.
npm run build # Build and type-check
npm start # Start production serverSpaceSafe X uses a bespoke aerospace design language:
| Token | Value | Usage |
|---|---|---|
| Background | #050816 |
App background (deep space) |
| Panel | #0B1220 |
Card/panel surfaces |
| Border | #172554 |
Hard engineering borders |
| Primary | #00D4FF |
Actions, highlights, live data |
| Accent | #7C3AED |
AI agents, secondary actions |
| Success | #10B981 |
Nominal states |
| Warning | #F59E0B |
Caution, moderate risk |
| Danger | #EF4444 |
Critical threats |
Typography: Orbitron (headings) ยท Space Grotesk (subheadings) ยท Inter (body) ยท JetBrains Mono (data)
- Real TLE Integration โ Live data from Space-Track.org
- CesiumJS Ion โ Photorealistic Earth with Bing satellite imagery
- WebSocket Telemetry โ Sub-second live updates
- Maneuver Uplink โ Direct satellite command integration
- Multi-Satellite Scenarios โ Fleet-wide threat management
- PDF Report Export โ Formatted mission reports with AI reasoning
- Mobile App โ React Native companion
Built for the FAR AWAY International Hackathon 2026
Organized by Zuup
Challenge: Build an innovative MVP with real-world impact and technical depth.
Goal: Create an AI-powered autonomous space traffic management platform capable of preventing orbital collisions and mitigating Kessler Syndrome events.
| Round | Stage | Status |
|---|---|---|
| Round 1 | Online MVP Submission | โ Submitted |
| Round 2 | Top 100 Teams โ Delhi Offline Hackathon | ๐ In Progress |
| Round 3 | Top 5 Teams โ Grand Finale Japan | ๐ Target |
SpaceSafe X was designed specifically to compete at the highest level of the FAR AWAY Hackathon and demonstrate how AI can help solve the growing orbital debris crisis โ a problem with genuine global consequences.
Made with โค๏ธ by Omkar Parelkar
| ๐ Portfolio | omkarparelkar.com |
| ๐ GitHub | github.com/omkar-103 |
| ๐ผ LinkedIn | linkedin.com/in/omkar-parelkar |
Built for FAR AWAY 2026 by Zuup. Designed for the future of space.
SpaceSafe X โ Protecting Orbits. Ensuring Tomorrow.