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Zenify Project Structure

📁 Clean Project Organization

Zenify/
├── 📋 Documentation
│   ├── README.md                          # Main project documentation
│   ├── CRISIS_RESPONSE_README.md          # Crisis intervention system docs
│   ├── GITHUB_MODELS_SETUP.md            # GitHub Models API setup guide
│   └── RAG_SYSTEM_README.md               # RAG implementation details
│
├── 🖥️ Frontend (React + TypeScript)
│   ├── src/
│   │   ├── components/                    # React components
│   │   │   ├── chat/                      # Chat interface components
│   │   │   ├── journal/                   # Journal functionality
│   │   │   ├── layout/                    # Layout components
│   │   │   ├── mood/                      # Mood tracking
│   │   │   └── ui/                        # Reusable UI components
│   │   ├── pages/                         # Application pages
│   │   ├── types/                         # TypeScript definitions
│   │   ├── utils/                         # Utility functions
│   │   │   ├── chat.ts                    # GitHub Models integration
│   │   │   ├── enhancedSuicideDetection.ts # Crisis detection
│   │   │   ├── adminDashboard.ts          # Admin functionality
│   │   │   └── storage.ts                 # Local storage management
│   │   ├── App.tsx                        # Main App component
│   │   └── main.tsx                       # App entry point
│   ├── index.html                         # HTML template
│   └── vite.config.ts                     # Vite configuration
│
├── 🤖 Backend APIs (Python + FastAPI)
│   ├── MCP/                               # Machine Learning Classification Pipeline
│   │   ├── mcpapi.py                      # TF-IDF + Logistic Regression API
│   │   ├── vectorizer.joblib              # Trained TF-IDF vectorizer
│   │   ├── logreg_model.joblib            # Trained logistic regression model
│   │   └── venv_mcp/                      # Python virtual environment
│   │
│   └── rag/                               # RAG Suicide Detection System
│       ├── simplified_suicide_detection_api.py # Enhanced risk analysis API
│       ├── minimal_requirements.txt       # Python dependencies
│       └── venv_rag/                      # Python virtual environment
│
├── ⚙️ Configuration
│   ├── package.json                       # Node.js dependencies
│   ├── tsconfig.json                      # TypeScript configuration
│   ├── tailwind.config.js                # Tailwind CSS configuration
│   ├── eslint.config.js                  # ESLint configuration
│   ├── postcss.config.js                 # PostCSS configuration
│   ├── .env.example                      # Environment variables template
│   └── .gitignore                        # Git ignore rules
│
├── 🚀 Deployment
│   ├── start_apis.sh                     # API startup script
│   └── venv/                             # Main Python virtual environment
│
└── 🔒 Security
    └── .env                              # Environment variables (private)

🧹 Cleaned Up Files

❌ Removed Unnecessary Files:

  • djsajhjhsaj.py - Random filename file
  • app.py - Unused application file
  • rag.py - Old RAG implementation
  • enhanced_suicide_detection_api.py - Complex version replaced by simplified
  • requirements.txt - Old requirements (kept minimal_requirements.txt)
  • file.py - Unused MCP file
  • model.py - Unused MCP file
  • start_simplified_apis.sh - Duplicate startup script
  • zenify-data-2025-05-03.json - Old data file
  • __pycache__/ directories - Python cache files

✅ Kept Essential Files:

  • Frontend: Complete React + TypeScript application
  • Backend: Working MCP and RAG APIs
  • Models: Trained ML models (vectorizer.joblib, logreg_model.joblib)
  • Documentation: All README files
  • Configuration: All config files
  • Environment: Working virtual environments

🎯 Current Status

  • Clean codebase with only essential files
  • Working APIs on ports 8001 (MCP) and 8002 (RAG)
  • Frontend running on port 5174
  • Crisis detection system fully operational
  • GitHub Models integration complete
  • Updated .gitignore to prevent future clutter

The project is now optimized and ready for production deployment! 🚀