Removed Redundant Documentation Files:
AUTH_FLOW_DIAGRAM.mdAUTH_INTEGRATION_SUMMARY.mdFRONTEND_BACKEND_AUTH_INTEGRATION.mdINSTALLATION_COMPLETE.mdNMAP_NIKTO_INSTALLATION_SUMMARY.mdSETUP_GUIDE.mdbackend/INSTALLATION_STATUS.mdbackend/ML_INTEGRATION_GUIDE.mdbackend/NMAP_NIKTO_ML_CONNECTION.mdbackend/SCANNER_INSTALLATION.mdbackend/SCANNER_STATUS.mdbackend/SETUP_COMPLETE.md
Removed Unused Code:
backend/prime/- Placeholder folderbackend/server.js- Unused Node.js server (using FastAPI)backend/models/- Unused Node.js models (using Python/Pydantic)backend/routes/- Unused Node.js routes (using FastAPI)backend/package.json- Unused Node.js dependenciesbackend/package-lock.jsonfrontend/pages/postcss.config.js- Duplicate configfrontend/pages/tailwind.config.js- Duplicate config
Root Level:
-
✅ README.md - Complete rewrite with:
- Clear project overview and features
- Architecture diagram
- Quick start guide
- Technology stack details
- Project structure
- Team credits
-
✅ ARCHITECTURE.md - Comprehensive architecture documentation:
- Detailed system architecture diagrams
- Layer-by-layer breakdown (Frontend, Backend, Scanners, ML, Database)
- Data flow explanation
- API endpoint reference
- Security considerations
- Deployment architecture
- Technology stack summary
- Performance metrics
-
✅ .gitignore - Enhanced with:
- Node.js specific ignores
- ML model files
- Generated reports
- Database files
- Temporary files
- Better organization
Backend Module:
- ✅ backend/README.md - Professional documentation:
- Detailed project structure
- Installation and setup guide
- JWT authentication flow
- Scanner integration details
- ML service integration
- API endpoint reference
- WebSocket events
- Testing instructions
- Docker deployment guide
Frontend Module:
- ✅ frontend/README.md - Complete frontend guide:
- Project structure breakdown
- Installation steps
- Authentication flow
- API service layer examples
- WebSocket integration guide
- Component examples (LogTerminal, RiskMeter, VulnTable)
- Page examples
- TailwindCSS configuration
- Deployment instructions
ML Module:
- ✅ ml/README.md - Comprehensive ML documentation:
- Project structure
- Installation and NLP setup
- Data collection guides
- Model training instructions
- Inference pipeline examples
- FastAPI ML service
- Testing guide
- Model evaluation
- Retraining procedures
- Cleaner Repository: Removed 18+ redundant/unused files
- Better Documentation: All READMEs are now comprehensive and professional
- Easier Onboarding: Clear setup instructions for all modules
- Consistent Structure: Standardized documentation format across modules
- Production Ready: Professional-grade documentation suitable for production deployment
- Installation guides for all modules
- Code examples with explanations
- API references with request/response samples
- Architecture diagrams showing system flow
- Best practices and development notes
- Testing instructions for quality assurance
- Deployment guides for production
- Basic scanner integration
- ML model training
- Frontend dashboard
- Backend API