-
Notifications
You must be signed in to change notification settings - Fork 0
Home
Robert Trenaman edited this page May 6, 2026
·
3 revisions
Nebula AI Framework is an advanced enterprise intelligence platform that provides comprehensive artificial intelligence capabilities with 57 integrated systems, 132 API endpoints, and real-time monitoring. Our framework features automated ML pipelines, advanced analytics, quantum-inspired algorithms, and a futuristic sci-fi themed web interface.
- 🤖 Advanced AI Systems: 57 integrated AI components for enterprise solutions
- 📊 Real-time Monitoring: Live system metrics and performance tracking
- 🔗 132 API Endpoints: Comprehensive REST API for all system functions
- 🎨 Sci-Fi Web Interface: Futuristic holographic UI with real-time visualizations
- 🧠 Machine Learning: Automated training pipelines with hyperparameter optimization
- 🔒 Enterprise Security: Advanced security and compliance features
- 📈 Performance Optimization: Resource management and system optimization
git clone https://github.com/AutoBotSolutions/Nebula.git
cd Nebula
python3 -m venv nebula_env
source nebula_env/bin/activate
pip install -r requirements.txt
python main.py- Main API: http://localhost:8080
- Web Interface: http://localhost:8081
-
API Health:
GET /health -
Predictions:
POST /predict
- API Reference - Complete API documentation with 132 endpoints
- Architecture - System architecture and design patterns
- Installation - Detailed installation instructions
- Configuration - System configuration guide
- Deployment - Production deployment instructions
- System Operations - Day-to-day system operations
- Complete Operations Guide - Comprehensive operations manual
- Monitoring & Analytics - System monitoring and analytics
- Performance Guide - Performance optimization techniques
- Troubleshooting - Common issues and solutions
- Data Validation Guide - Data quality and validation
- Integration Guide - Third-party system integration
- Integration Phases - Step-by-step integration process
- Testing Guide - System testing procedures
- Security & Compliance - Security best practices
- Backup & Disaster Recovery - Data protection procedures
- Investor Analysis - Investment opportunities
- Operations Summary - Business operations overview
- Commercial License - Commercial usage terms
- Enterprise Agreement - Enterprise licensing
- Software Usage Agreement - Usage terms
- Support & Maintenance - Support services
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Web Backend │ │ Main Framework │ │ API Server │
│ (Port 8081) │◄──►│ (Core Logic) │◄──►│ (Port 8080) │
│ │ │ │ │ │
│ • Sci-Fi UI │ │ • ML Pipeline │ │ • REST API │
│ • Monitoring │ │ Data Processing│ │ • Predictions │
│ • Real-time │ │ • Training │ │ • Health Check │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌─────────────────┐
│ Data Storage │
│ │
│ • Models │
│ • Logs │
│ • Databases │
│ • Uploads │
└─────────────────┘
- Documentation: Browse the comprehensive guides in this wiki
- GitHub Issues: Report bugs and request features
- API Reference: Check the API Reference for endpoint documentation
- Contributors: Welcome contributions from the community
- Feedback: We value user feedback and suggestions
- Updates: Regular updates and improvements
- Version: 1.0.0
- Status: ✅ Production Ready
- API Endpoints: 132 Available
- Documentation Pages: 34 Comprehensive Guides
- Last Updated: May 2026
- GitHub Repository - Source code and issues
- Live Demo - GitHub Pages demo
- API Documentation - Complete API reference
- Installation Guide - Get started quickly
Welcome to the future of enterprise AI with Nebula Framework! 🌟