A comprehensive document processing platform with OCR, NLP, and AI-powered document analysis capabilities.
- Document Upload & Management - Support for PDF, images, and various document formats
- OCR Processing - Advanced text extraction with Tesseract
- NLP Analysis - Entity recognition, sentiment analysis, and document classification
- AI-Powered Processing - Machine learning models for intelligent document understanding
- User Management - Secure authentication and role-based access control
- Processing Pipeline - Queue-based document processing with status tracking
- API-First Design - RESTful API with comprehensive documentation
- Modern Frontend - React-based user interface with real-time updates
- Scalable Architecture - Microservices-ready with containerization support
Document Processing Platform/
βββ backend/ # FastAPI backend services
β βββ api/ # API routes and endpoints
β βββ core/ # Core configuration and database
β βββ models/ # SQLAlchemy database models
β βββ schemas/ # Pydantic data validation schemas
β βββ services/ # Business logic services
β βββ tests/ # Backend tests
βββ frontend/ # React frontend application
β βββ src/ # Source code
β βββ public/ # Static assets
β βββ tests/ # Frontend tests
βββ ml_models/ # Machine learning models
βββ docker/ # Docker configuration
βββ kubernetes/ # Kubernetes deployment files
βββ docs/ # Documentation
- FastAPI - Modern Python web framework
- SQLAlchemy - Database ORM
- PostgreSQL - Primary database
- Redis - Caching and job queue
- Celery - Background task processing
- JWT - Authentication tokens
- React 18 - Modern UI framework
- TypeScript - Type-safe JavaScript
- Tailwind CSS - Utility-first CSS framework
- React Query - Data fetching and caching
- React Router - Client-side routing
- Axios - HTTP client
- Tesseract OCR - Text extraction
- SpaCy - Natural language processing
- Transformers - Advanced NLP models
- OpenCV - Image processing
- PyTorch - Deep learning framework
- Docker - Containerization
- Kubernetes - Orchestration
- Nginx - Reverse proxy
- Prometheus - Monitoring
- Grafana - Visualization
- Python 3.9+
- Node.js 18+
- Docker & Docker Compose
- PostgreSQL 13+
- Redis 6+
- Clone the repository
git clone <repository-url>
cd document-processing-platform- Backend Setup
cd backend
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt- Frontend Setup
cd frontend
npm install- Database Setup
# Using Docker
docker-compose up -d postgres redis- Run the Application
# Backend
cd backend
uvicorn api.main:app --reload
# Frontend
cd frontend
npm startOnce the backend is running, visit:
- Swagger UI: http://localhost:8000/docs
- ReDoc: http://localhost:8000/redoc
# Backend tests
cd backend
pytest
# Frontend tests
cd frontend
npm test# Build and run with Docker Compose
docker-compose up -d
# Production deployment
docker-compose -f docker-compose.prod.yml up -d- Application Metrics: http://localhost:3000/metrics
- Grafana Dashboard: http://localhost:3001
- Health Check: http://localhost:8000/health
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Submit a pull request
This project is licensed under the MIT License - see the LICENSE file for details.
For support and questions:
- Create an issue in the repository
- Contact the development team
- Check the documentation in
/docs
- Advanced ML model integration
- Real-time collaboration features
- Mobile application
- Advanced analytics dashboard
- Multi-language support
- Cloud deployment guides