🚩 Finally understand what you're agreeing to - making legal jargon actually readable

• 🔍 Overview
• ✨ Features
• 🏗️ Project Structure
  • 📂 Project Index
• 🚀 Getting Started
  • 📋 Prerequisites
  • ⚙️ Installation
  • 💻 Usage
  • 🧪 Testing
• 🛣️ Project Roadmap
• 🤝 Contributing
• 📄 License
• 🙏 Acknowledgments

Flagr is a modern, intelligent document analysis and chat platform built with React and TypeScript. It combines the power of AI-driven document processing with an intuitive chat interface, enabling users to upload, analyze, and interact with their documents through natural language conversations.

The platform leverages advanced language models to provide comprehensive document insights, making it easier for users to extract meaningful information from complex documents through an interactive chat experience. Whether you're dealing with legal contracts, technical documentation, or research papers, Flagr transforms dense text into understandable, actionable insights.

• 📄 Document Upload & Parsing - Support for multiple document formats with intelligent content extraction
• 🤖 AI-Powered Analysis - Advanced document analysis using state-of-the-art language models
• 💬 Interactive Chat Interface - Natural language conversations about your documents
• 🔐 User Authentication - Secure login and user profile management
• 💾 Local Storage Integration - Persistent data storage for chat history and user preferences
• 📊 Analysis Results Visualization - Comprehensive display of document insights and analysis results

• ⚡ Modern React Architecture - Built with React 18+ and TypeScript for type safety
• 🎨 Responsive Design - Mobile-first approach with adaptive UI components
• 🔧 Modular Component Structure - Well-organized, reusable components for maintainability
• 🚀 Fast Development - Powered by Vite for lightning-fast development and builds
• 🔌 API Integration - Seamless integration with multiple AI service providers

└── Flagr/
    ├── App.tsx                          # Main application component
    ├── README.md                        # Project documentation
    ├── components/                     
    │   ├── AnalysisLoadingView.tsx     
    │   ├── AnalysisModal.tsx           
    │   ├── AnalysisResultsView.tsx     
    │   ├── ChatInput.tsx               
    │   ├── ChatMessage.tsx            
    │   ├── ChatPanel.tsx               
    │   ├── ChatView.tsx               
    │   ├── InitialView.tsx             
    │   ├── LoginPage.tsx               
    │   ├── Sidebar.tsx                
    │   └── UserProfile.tsx          
    ├── constants.tsx                   
    ├── index.html                     
    ├── index.tsx                      
    ├── metadata.json                   
    ├── package-lock.json              
    ├── package.json                   
    ├── services/                      
    │   ├── documentParser.ts           # Document parsing and content extraction utilities
    │   ├── firebaseService.ts          # Firebase integration for backend services
    │   ├── geminiService.ts.bak        # Gemini AI service (backup)
    │   ├── llama-api.services.ts       # Llama API integration for AI-powered analysis
    │   └── storageService.ts           # Local storage management and data persistence
    ├── tsconfig.json                  
    ├── types.ts                       
    ├── vite-env.d.ts                  
    └── vite.config.ts                  

Before getting started with Flagr, ensure your development environment meets the following requirements:

• Node.js: Version 16.0 or higher
• NPM: Version 8.0 or higher (or Yarn 1.22+)
• Operating System: Windows 10+, macOS 10.15+, or Linux
• Browser: Modern browser with ES2020 support (Chrome 88+, Firefox 85+, Safari 14+)

Install Flagr using the following steps:

1. Clone the repository:

git clone https://github.com/sameezy667/Flagr.git

2. Navigate to the project directory:

cd Flagr

3. Install dependencies:

Using npm:

npm install

Using yarn:

yarn install

4. Set up environment variables (if needed):

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

Run Flagr in development mode:

Using npm:

npm run dev

Using yarn:

yarn dev

Build for production:

npm run build
# or
yarn build

Preview production build:

npm run preview
# or
yarn preview

The application will be available at http://localhost:5173 (or the port specified in your configuration).

• Enhanced Document Analysis - Advanced parsing for multiple file formats (PDF, DOCX, TXT)
• Real-time Collaboration - Multi-user document sharing and collaboration
• Advanced Search - Full-text search across uploaded documents

• Document Summarization - AI-powered document summaries and key insights
• Export Functionality - Export chat conversations and analysis results
• Mobile App - React Native mobile application
• API Documentation - Comprehensive API documentation and SDK
• Integration Plugins - Third-party integrations (Google Drive, Dropbox, etc.)
• Advanced Analytics - Usage analytics and performance metrics

• Voice Input - Speech-to-text for hands-free interaction
• Multi-language Support - Internationalization and localization
• Custom AI Models - Support for custom-trained language models
• Workflow Automation - Automated document processing workflows

We welcome contributions from the community! Here's how you can help make Flagr better:

• 💬 Join Discussions: Share ideas, ask questions, and connect with the community
• 🐛 Report Issues: Found a bug? Let us know!
• 💡 Feature Requests: Suggest new features and improvements
• 📖 Documentation: Help improve our documentation

This project is licensed under the MIT License - see the LICENSE file for details.

• React - UI library for building interactive interfaces
• TypeScript - Type-safe JavaScript development
• Vite - Fast build tool and development server
• Firebase - Backend services and authentication
• Llama API - AI language model integration

• Material Icon Theme - Beautiful icons for the project
• Shields.io - Clean and informative badges

• IEEE RAS team for inspiring and motivating us to build this project for the PIXEL PALETTES hackathon
• The open-source community for inspiration and support

• React Documentation
• TypeScript Handbook
• Modern Web Development Best Practices

Made with ❤️ by the Flagr Team

⭐ Star this project | 🐛 Report Bug | 💬 Join Discussion