Connect instantly, collaborate seamlessly, and communicate intelligently through a scalable real-time messaging platform inspired by WhatsApp, Telegram, Discord, and Slack.
Application
https://chat-flow-eta-three.vercel.app/login
ChatFlow is a production-ready real-time messaging platform designed for modern communication and collaboration.
Built using Next.js, Express, PostgreSQL, and Socket.IO, the application delivers instant messaging, group conversations, media sharing, AI-assisted interactions, and real-time notifications through a scalable full-stack architecture.
Inspired by leading communication platforms such as WhatsApp, Telegram, Discord, and Slack, ChatFlow demonstrates enterprise-grade backend design, secure authentication, and low-latency communication.
- Instant messaging using Socket.IO
- One-to-one conversations
- Group chats
- Message editing
- Message deletion
- Emoji reactions
- Typing indicators
- Online presence detection
- Read & delivered receipts
- Friend requests
- Group creation
- Group management
- Conversation history
- Member roles
- Real-time collaboration
- Image upload
- Video upload
- Document sharing
- Cloudinary integration
- Secure media storage
- Real-time notifications
- Unread message counts
- Activity alerts
- Friend request notifications
- JWT Authentication
- Refresh Tokens
- bcrypt password hashing
- Protected routes
- Role-based authorization
- Secure session management
- User management
- Group management
- Platform analytics
- Audit logs
- Administrative controls
- Responsive design
- Dark Mode
- Glassmorphism UI
- Modern dashboard
- Mobile-friendly interface
Client
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Next.js Frontend
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REST API + Socket.IO
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Express Backend
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JWT PostgreSQL Cloudinary
Auth Database Media
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Real-Time Event Engine
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Live Communication
Secure registration, login, refresh tokens, and session management.
Low-latency real-time communication powered by Socket.IO.
Create and manage team conversations with multiple participants.
Context-aware AI features for smarter communication.
Upload and share multimedia files securely.
Deliver instant platform updates and unread indicators.
Comprehensive dashboard for platform management and analytics.
- Enterprise-style full-stack architecture
- Real-time WebSocket communication
- JWT authentication system
- AI-assisted messaging
- Media upload support
- Cloud storage integration
- Production-ready backend
- Dockerized deployment
- REST API architecture
- Admin analytics dashboard
| Layer | Technology |
|---|---|
| Frontend | Next.js 15, React 19, TypeScript |
| UI | Tailwind CSS, ShadCN UI |
| State Management | Zustand, React Query |
| Backend | Node.js, Express |
| Realtime | Socket.IO |
| Database | PostgreSQL |
| ORM | Prisma |
| Authentication | JWT, bcrypt |
| Storage | Cloudinary |
| Deployment | Vercel, Railway |
| DevOps | Docker, GitHub Actions |
ChatFlow/
βββ frontend/
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βββ backend/
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βββ docker-compose.yml
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βββ .github/
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βββ README.md
Clone repository:
git clone https://github.com/pn-dev-in/ChatFlow.git
cd ChatFlowBackend:
cd backend
npm install
npm run devFrontend:
cd frontend
npm install
npm run devSupports:
- Authentication
- Conversations
- Messaging
- Groups
- Media Upload
- AI Assistant
- Notifications
- Analytics
Interactive API documentation available through Swagger.
This project demonstrates practical experience in:
β Full-Stack Development
β Real-Time Systems
β WebSockets
β REST API Design
β Authentication & Authorization
β Database Design
β Cloud Storage Integration
β AI Feature Integration
β Docker
β Software Architecture
- Voice messaging
- Video calling
- End-to-end encryption
- Message scheduling
- AI meeting assistant
- Smart search
- Mobile application
- Offline synchronization
- Multi-device support
ChatFlow provides a scalable communication platform suitable for startups, educational institutions, teams, and enterprise collaboration.
Its modular architecture allows easy extension with AI features, advanced analytics, and additional collaboration tools, making it a strong foundation for modern messaging applications.
GitHub
www.linkedin.com/in/pravesh-nandanwar
If you found this project useful, consider giving it a β on GitHub.
Contributions, suggestions, and feedback are always welcome.