DocuAI

An intelligent document AI assistant that revolutionizes how you interact with your documents through natural language processing and artificial intelligence.

Features

• Intelligent Document Analysis: Upload and analyze various document formats (PDF, DOCX, TXT, etc.)
• Natural Language Queries: Ask questions about your documents in plain English
• AI-Powered Summaries: Get concise summaries of lengthy documents
• Multi-format Support: Compatible with multiple document formats
• Interactive Chat Interface: Conversational interface for document exploration
• Semantic Search: Find relevant information across your document collection
• Export Capabilities: Export insights and answers in various formats

Technologies Used

• Frontend: Modern web technologies for responsive user interface.
• Backend: Robust server architecture for document processing.
• Document Processing: OCR and text extraction capabilities.
• Database: Efficient storage for document metadata and insights.

Quick Start

Installation

1. Clone the repository

git clone https://github.com/ismailassil/DocuAI.git
cd DocuAI

2. Set up environment variables

cp .env.example .env
# Edit .env with your configuration

3. Install dependencies

make up

4. Open your browser and navigate to http://localhost:3000

📖 Usage

Basic Usage

1. Upload Documents: Click the upload button and select your documents
2. Ask Questions: Type your questions in the chat interface
3. Get Insights: Receive AI-generated answers and summaries
4. Export Results: Save important insights for future reference

Advanced Features

• Batch Processing: Upload multiple documents for comparative analysis
• Custom Queries: Create complex queries for specific information extraction

Development Workflow

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Make your changes
4. Commit your changes (git commit -m 'Add some AmazingFeature')
5. Push to the branch (git push origin feature/AmazingFeature)
6. Open a Pull Request

Code Style

• Use ESLint configuration for JavaScript/TypeScript
• Write meaningful commit messages

Performance

• Supports documents up to 3MB
• Average query response time: <10 seconds
• Concurrent user support: 100+ users
• 70% uptime SLA

Roadmap

• Mobile application support
• Real-time collaboration features
• Advanced OCR capabilities
• Integration with cloud storage providers
• Multi-language support
• Voice interaction capabilities

Acknowledgments

• OpenAI, DeepSeek for their models
• The open-source community for invaluable tools and libraries

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