Task Manager Application

A comprehensive task management application designed for teams and individuals to organize, track, and collaborate on projects efficiently. The application features real-time updates, multiple view modes, and collaborative workspaces.

Project Overview

This full-stack application was built to address the need for a simple yet powerful task management solution. The project demonstrates proficiency in modern web development technologies and real-time communication patterns.

Key Features

• Real-time Collaboration: Live updates using Socket.io
• Multiple View Modes: List, Kanban board, and calendar views
• Team Workspaces: Collaborative project management
• Task Dependencies: Link related tasks and track progress
• File Attachments: Upload and manage project files
• Time Tracking: Built-in time tracking for tasks
• Responsive Design: Works seamlessly on desktop and mobile

Technical Architecture

The application follows a modern full-stack architecture with a React frontend and Node.js backend. Real-time functionality is implemented using Socket.io for instant updates across all connected clients.

Frontend Technologies

• React 18: Component-based UI with hooks
• TypeScript: Type safety and better developer experience
• React Query: Server state management and caching
• React Router: Client-side routing
• Styled Components: CSS-in-JS styling solution

Backend Technologies

• Node.js: Runtime environment
• Express.js: Web application framework
• MongoDB: Document database for flexible data storage
• Socket.io: Real-time bidirectional communication
• JWT: Authentication and authorization

Implementation Highlights

The real-time collaboration feature was one of the most challenging aspects of the project. It required careful consideration of data synchronization, conflict resolution, and optimistic updates to provide a smooth user experience.

The application uses a custom event system to handle real-time updates efficiently, ensuring that only relevant changes are broadcast to connected clients.

Performance Optimizations

• Code Splitting: Lazy loading of route components
• Memoization: React.memo and useMemo for expensive operations
• Database Indexing: Optimized MongoDB queries
• Caching: Redis for session management and frequent queries
• Image Optimization: Compressed images and lazy loading

Results and Impact

The application successfully handles multiple concurrent users with real-time updates. Performance testing showed excellent response times and the ability to scale to hundreds of concurrent connections.