NavixAI is a futuristic, web-based logistics intelligence platform designed to prevent cargo theft in real-time using collaborative fleet data, anomaly detection, and dynamic rerouting.
Unlike traditional tracking systems that only provide location visibility, NavixAI introduces a distributed intelligence network, where vehicles actively share risk signals to protect each other.
Cargo theft and tampering during transportation result in:
- Significant financial losses
- Supply chain disruptions
- Lack of real-time intervention
- No visibility into cargo-level risks
Current systems rely heavily on GPS tracking, which:
- Cannot detect theft in real-time
- Cannot identify suspicious behavior
- Cannot warn other vehicles
NavixAI solves this by introducing:
A real-time collaborative threat intelligence system for logistics fleets
- Detect pre-theft anomalies
- Convert them into risk signals
- Create dynamic threat zones
- Broadcast alerts to nearby vehicles
- Automatically reroute vehicles to safety
- Source β Destination input
- Route visualization using maps
- Real-time movement of trucks
- Continuous location updates
-
Detects:
- Unauthorized stops
- Route deviation
- Door open events
-
Calculates dynamic risk score (0β100)
-
Context-aware alerts:
- Warning
- Critical
-
Real-time UI notifications
- High-risk events create geo-based threat zones
- Zones are stored in Firestore
- Visualized as red danger areas on map
- Vehicles listen to shared threat data
- Nearby vehicles get alerted instantly
- Enables collaborative safety
-
Vehicles approaching danger zones:
- Get alerts
- Automatically rerouted to safer paths
-
Track any vehicle using:
- Vehicle ID
- Shipment ID
User Input β Route Engine β Vehicle Simulation β Event Detection
β Risk Engine β Threat Zone Creation β Firestore Sync
β Fleet Broadcast β Alert System β Smart Rerouting
- Next.js (App Router)
- TypeScript
- Tailwind CSS (Dark Cyber UI)
- Firebase Firestore (Real-time DB)
- Google Maps API (Directions + Places)
- Firebase SDK
- User creates a route
- Vehicle simulation starts
- Events are triggered
- Risk score increases
- Threat zone is created
- Firestore updates in real-time
- Other vehicles receive alerts
- Vehicles reroute dynamically
- Enter source & destination
- Truck starts moving
- Trigger anomaly (e.g., door open)
- Risk level increases
- π΄ Threat zone appears
- Second vehicle receives alert
- π Route is updated to avoid danger
NavixAI contributes to:
- π Safer logistics networks
- π Reduced cargo theft
- β‘ Faster response to incidents
- π Smarter supply chain systems
- Real IoT sensor integration
- Driver behavior analytics
- AI-based predictive modeling
- Integration with highway authorities (e.g., NHAI)
- Blockchain for shipment integrity
- Uses simulated data instead of real sensors
- Rule-based risk engine (no ML yet)
- Limited real-world integrations
git clone https://github.com/your-username/navixai.git
cd navixainpm installCreate .env.local:
NEXT_PUBLIC_FIREBASE_API_KEY=your_key
NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_domain
NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_project
NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET=your_bucket
NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID=your_id
NEXT_PUBLIC_FIREBASE_APP_ID=your_app_id
NEXT_PUBLIC_GOOGLE_MAPS_API_KEY=your_maps_key
npm run dev/app β Pages & routes
/components β UI components
/lib β Firebase config
/services β API & logic layer
/styles β Global styles
The Algonauts
- Jashwanth J
- Mathumitha S
- Madhusree M
- Harshini A
NavixAI is not just a tracking system.
It is a collaborative intelligence network that transforms how logistics safety is handledβ from reactive monitoring β to proactive prevention.
β If you found this project interesting, consider giving it a star!