This is a full-stack application built with the MERN stack (MongoDB, Express, React, Node.js) featuring authentication, user profiles, and a task management system.

• Backend: Node.js, Express, MongoDB, Mongoose, JWT, Bcrypt
• Frontend: React, Vite, TailwindCSS, Axios, React Router, Lucide React

• Authentication: Register and Login with JWT.
• Protected Routes: Dashboard and Profile pages are protected.
• Dashboard: View, Create, Edit, Delete, Search, and Filter tasks.
• Profile: View and Update user profile.
• UI/UX: Responsive design, modern components, loading states, and error handling.

• Node.js installed
• MongoDB installed and running (or use MongoDB Atlas)

1. Navigate to the backend directory:

   cd backend

2. Install dependencies:

   npm install

3. Create a .env file based on .env.example:

   cp ../.env.example .env

   Update MONGO_URI if needed.
4. Start the server:

   npm run dev

   The server will run on http://localhost:5000.

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

   The app will run on http://localhost:5173.

• POST /api/auth/register: Register a new user.
• POST /api/auth/login: Login user and get token.
• GET /api/auth/user: Get current user data.
• GET /api/profile/me: Get current user profile.
• PUT /api/profile: Update user profile.
• GET /api/tasks: Get all tasks (supports search and status query params).
• POST /api/tasks: Create a new task.
• PUT /api/tasks/:id: Update a task.
• DELETE /api/tasks/:id: Delete a task.

To scale this application:

• Backend: Implement horizontal scaling using a load balancer (e.g., Nginx) and run multiple instances of the Node.js server (using PM2 or Docker).
• Database: Use MongoDB sharding and replication for high availability and performance. Index frequently queried fields (like user and status in Tasks).
• Frontend: Optimize build with code splitting, lazy loading, and CDN for static assets.
• Caching: Implement Redis for caching frequently accessed data (like user profiles).

MIT