QueueFlow is a real-time task queue and team collaboration platform designed to help teams organize, assign, track, and manage work through a centralized workflow system.
Implemented WebSocket-based communication for instant task and workflow updates
Enabled users to receive changes without manually refreshing the application
Built a responsive experience for collaborative task management
Synchronized important workflow updates across connected users
📋 Task & Queue Management
Built structured task queues for organizing and tracking work efficiently
Enabled task creation, assignment, status management, and workflow tracking
Designed clear workflows to help teams manage tasks across different stages
Created an intuitive interface for viewing and managing active work
Built a full-stack architecture with clear separation between frontend, backend, and database layers
Developed RESTful APIs for reliable client-server communication
Structured the application for scalability, maintainability, and future feature expansion
Implemented reusable components and modular application logic
Built the backend using Node.js and Express.js
Used PostgreSQL for structured relational data management
Implemented Prisma ORM for type-safe database access and schema management
Developed REST APIs for task, workflow, and application data operations
Integrated WebSockets to support real-time application events
Built the frontend using React and TypeScript
Used Redux for predictable application state management
Developed reusable and maintainable UI components
Created a responsive interface using Tailwind CSS
Integrated REST APIs and real-time WebSocket communication with the frontend
ReactJS · TypeScript · Redux · Tailwind CSS · Node.js · Express.js · PostgreSQL · Prisma · WebSockets · REST API
QueueFlow demonstrates my ability to build a complete real-time full-stack application covering frontend development, backend architecture, relational database design, API development, state management, WebSocket communication, responsive UI development, and production deployment.
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