Enterprise-Grade Intelligent Meeting Assistant

A sophisticated, production-ready AI-powered meeting platform that transforms how teams collaborate. Built with modern technologies and enterprise-level architecture, featuring real-time transcription, advanced AI insights, multi-language support, and comprehensive integrations.

• 🎤 Real-time Transcription: Advanced speech-to-text with 95%+ accuracy
• 🧠 AI-Powered Insights: Sentiment analysis, topic detection, and intelligent summaries
• 📋 Smart Action Items: Automatic extraction and assignment of tasks
• 🌍 Multi-language Support: 7+ languages with real-time translation
• 🔍 Semantic Search: Vector-based search through meeting history
• 📊 Advanced Analytics: Comprehensive meeting metrics and insights
• 🔗 Enterprise Integrations: Slack, Microsoft Teams, Google Workspace, Salesforce, HubSpot

• 📹 HD Video Conferencing: WebRTC-based with screen sharing
• 🎨 Modern UI/UX: Material Design with dark/light themes
• 📱 Progressive Web App: Offline support and mobile optimization
• 🔐 Enterprise Security: OAuth2, JWT, role-based access control
• 📈 Real-time Collaboration: Live cursors, presence indicators
• 🤖 AI Models: Multiple AI providers (Hugging Face, OpenAI)
• ☁️ Cloud-Native: Kubernetes-ready with auto-scaling

React 18 + TypeScript ├── 🎨 Material-UI v5 (Design System) ├── 🔄 Redux Toolkit + RTK Query (State Management) ├── 🌐 React Router v6 (Navigation) ├── 🎭 Framer Motion (Animations) ├── 🌍 i18next (Internationalization) ├── 📊 Chart.js + D3.js (Data Visualization) ├── 🎥 WebRTC (Video/Audio) ├── 🔌 Socket.io (Real-time Communication) └── 🧪 Jest + Cypress (Testing) 

Node.js + TypeScript + Express ├── 🗄️ PostgreSQL (Primary Database) ├── 🚀 Redis (Caching & Sessions) ├── 🔍 Qdrant (Vector Database) ├── 🤖 Hugging Face + OpenAI (AI Models) ├── 🔐 Passport.js (Authentication) ├── 📊 Prometheus (Metrics) ├── 📝 Winston (Logging) ├── 🔒 Helmet + Rate Limiting (Security) └── 🧪 Jest + Supertest (Testing) 

Docker + Kubernetes ├── 🌐 Nginx (Reverse Proxy) ├── 📊 Grafana (Monitoring) ├── 🔍 ELK Stack (Logging) ├── 🚀 GitHub Actions (CI/CD) ├── ☁️ AWS/GCP/Azure (Cloud Deployment) └── 📈 Auto-scaling & Load Balancing 

• Node.js 18+
• Docker & Docker Compose
• PostgreSQL 15+
• Redis 7+

# Clone the repository git clone https://github.com/username/ai-meeting-copilot.git cd ai-meeting-copilot # Copy environment configuration cp .env.example .env # Start all services with Docker Compose docker-compose -f docker-compose.dev.yml up -d # Access the application open http://localhost:3000

# Install dependencies npm install cd client && npm install cd ../server && npm install # Set up environment cp .env.example .env # Edit .env with your configuration # Start PostgreSQL and Redis docker-compose up postgres redis qdrant -d # Run database migrations cd server && npm run migrate # Start development servers npm run dev:server # Terminal 1 npm run dev:client # Terminal 2

# Database DB_HOST=localhost DB_PORT=5432 DB_NAME=ai_meeting_copilot DB_USER=postgres DB_PASSWORD=your_password # AI Services HUGGINGFACE_API_KEY=your_hf_key OPENAI_API_KEY=your_openai_key # Authentication JWT_SECRET=your_super_secret_key GOOGLE_CLIENT_ID=your_google_client_id MICROSOFT_CLIENT_ID=your_microsoft_client_id # Integrations SLACK_CLIENT_ID=your_slack_client_id SALESFORCE_CLIENT_ID=your_salesforce_client_id

See .env.example for complete configuration.

1. Create Account: Sign up with email or OAuth (Google/Microsoft)
2. Start Meeting: Click "Start Instant Meeting" or schedule for later
3. Invite Participants: Share meeting link or send calendar invites
4. Enable AI Features: Turn on transcription and AI insights
5. Collaborate: Use chat, screen sharing, and real-time collaboration
6. Review Insights: Access AI-generated summaries and action items

• Real-time Transcription: Automatic speech-to-text in 7+ languages
• AI Insights: Live sentiment analysis and topic detection
• Action Items: Smart extraction with automatic assignment
• Screen Sharing: High-quality screen and application sharing
• Recording: Cloud-based meeting recordings with searchable transcripts
• Chat: Rich text chat with file sharing and emoji reactions

• Meeting Metrics: Duration, participation, engagement scores
• AI Insights: Sentiment trends, topic analysis, speaking time
• Team Performance: Collaboration patterns and productivity metrics
• Custom Reports: Exportable reports in multiple formats

ai-meeting-copilot/ ├── 📁 client/ # React frontend │ ├── 📁 src/ │ │ ├── 📁 components/ # Reusable UI components │ │ ├── 📁 pages/ # Page components │ │ ├── 📁 store/ # Redux store & slices │ │ ├── 📁 hooks/ # Custom React hooks │ │ ├── 📁 services/ # API services │ │ ├── 📁 utils/ # Utility functions │ │ └── 📁 types/ # TypeScript types │ └── 📁 public/ # Static assets ├── 📁 server/ # Node.js backend │ ├── 📁 src/ │ │ ├── 📁 controllers/ # Route controllers │ │ ├── 📁 middleware/ # Express middleware │ │ ├── 📁 models/ # Database models │ │ ├── 📁 routes/ # API routes │ │ ├── 📁 services/ # Business logic │ │ ├── 📁 config/ # Configuration │ │ └── 📁 types/ # TypeScript types │ └── 📁 tests/ # Test files ├── 📁 docker/ # Docker configurations ├── 📁 k8s/ # Kubernetes manifests ├── 📁 monitoring/ # Monitoring configs └── 📁 docs/ # Documentation 

# Run all tests npm run test # Frontend tests cd client npm run test:coverage npm run test:e2e # Backend tests cd server npm run test:coverage npm run test:integration # Load testing npm run test:load

# Build production images docker build -t ai-meeting-copilot . # Deploy with Docker Compose docker-compose up -d # Or deploy to Kubernetes kubectl apply -f k8s/

• AWS: ECS, EKS, or Elastic Beanstalk
• Google Cloud: GKE or Cloud Run
• Azure: AKS or Container Instances
• DigitalOcean: App Platform or Kubernetes

Authentication ├── POST /api/auth/login ├── POST /api/auth/logout ├── POST /api/auth/refresh └── GET /api/auth/me Meetings ├── GET /api/meetings ├── POST /api/meetings ├── GET /api/meetings/:id ├── PATCH /api/meetings/:id ├── DELETE /api/meetings/:id └── POST /api/meetings/:id/join AI Services ├── POST /api/ai/transcribe ├── POST /api/ai/summarize ├── POST /api/ai/sentiment ├── POST /api/ai/topics └── POST /api/ai/translate Analytics ├── GET /api/analytics/meetings/:id ├── GET /api/analytics/user └── GET /api/analytics/organization 

// Client to Server socket.emit('join-meeting', { meetingId, userId }); socket.emit('audio-chunk', { data, meetingId }); socket.emit('chat-message', { message, meetingId }); // Server to Client socket.on('participant-joined', (participant) => {}); socket.on('transcription', (text) => {}); socket.on('ai-insight', (insight) => {});

• 🔐 Authentication: OAuth2, JWT with refresh tokens
• 🛡️ Authorization: Role-based access control (RBAC)
• 🔒 Data Encryption: AES-256 encryption at rest and in transit
• 🚫 Rate Limiting: API rate limiting and DDoS protection
• 🔍 Audit Logging: Comprehensive security event logging
• 🛡️ Input Validation: Strict input sanitization and validation

• GDPR: Data privacy and right to be forgotten
• HIPAA: Healthcare data protection (optional module)
• SOC 2: Security and availability controls
• ISO 27001: Information security management

We welcome contributions! Please see our Contributing Guide for details.

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

• TypeScript: Strict type checking enabled
• ESLint + Prettier: Consistent code formatting
• Conventional Commits: Standardized commit messages
• Test Coverage: Minimum 80% coverage required
• Documentation: Comprehensive inline documentation

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

• 📧 Email: support@ai-meeting-copilot.com
• 💬 Discord: Join our community
• 📖 Documentation: docs.ai-meeting-copilot.com
• 🐛 Issues: GitHub Issues

• 🏢 Enterprise Sales: enterprise@ai-meeting-copilot.com
• 📞 24/7 Support: Available for enterprise customers
• 🎓 Training: Custom training and onboarding
• 🔧 Professional Services: Custom development and integration