NetworkTwin is a cutting-edge network simulation and digital twin platform designed to revolutionize network infrastructure modeling, testing, and optimization.
- LEO Satellite Networks
- Enterprise Networks
- IoT Topologies
- Data Center Architectures
- AI-Powered Predictive Modeling
- Real-Time Network Dynamics
- Performance Optimization
- Risk Assessment
graph TD
A[User Interface] --> B[API Gateway]
B --> C{Network Simulator}
C --> D[LEO Satellite Simulation]
C --> E[Enterprise Network Simulation]
C --> F[IoT Network Simulation]
D --> G[Performance Predictor]
E --> G
F --> G
G --> H[Optimization Engine]
H --> I[Recommended Configuration]
- Dynamic Constellation Modeling
- Performance Prediction
- Reliability Simulation
- Multi-Vendor Router Simulation
- Topology Design
- Traffic Modeling
- Mesh Network Simulation
- Sensor Connectivity
- Resource Allocation
- 👉 Python 3.10+
- 🚀 FastAPI
- 📊 PyTorch
- 💍 Bayesian Modeling
- ⚛️ React.js
- 📈 D3.js
- 🎨 Material UI
- Basic Network Simulation
- LEO Satellite Modeling
- Initial Visualization
- GNS3 Integration
- WebSocket Real-Time Updates
- Advanced AI Predictive Models
- Multi-Cloud Support
- Kubernetes Integration
- Advanced Security Modules
- Enterprise Scalability
- Comprehensive Monitoring
graph LR
A[Raw Network Data] --> B[Data Preprocessing]
B --> C[Bayesian Network]
B --> D[Recurrent Neural Network]
B --> E[Particle Swarm Optimization]
C --> F{Hybrid Predictive Model}
D --> F
E --> F
F --> G[Performance Prediction]
F --> H[Risk Assessment]
F --> I[Optimization Recommendations]
- 💻 Network Engineers
- 👀 Research Scientists
- 🌎 Cloud Architects
- 🤖 AI/ML Specialists
Email: [email protected] GitHub: @nabz0r
MIT License - Innovation without Boundaries