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Please give me the 13 steps of coding this application Node.js Typescript project in 30 minutes or less for a job interview. Only have 1 step for setup and 1 step for testing/deployment. The rest of the steps should be the actual coding.When you are finished with this task pause and ask to continue. When you continue you will provide a code sample scaffolding (this should be actual code) to get started:
  • Project 1: REST API Creation:
  • A REST API is a common project in Node.js interviews. It involves setting up a server to handle HTTP requests and responses. You might need to create endpoints for creating, reading, updating, and deleting data (CRUD operations). This demonstrates your understanding of RESTful principles and backend development.

Project 2: Authentication System:

  • Building an authentication system, such as a login and registration feature, is a typical task. This involves handling user credentials, securely storing passwords, and possibly integrating token-based authentication like JWT (JSON Web Tokens). This project shows your skills in security and user management.

Project 3: Real-time Chat Application:

  • A chat application using WebSocket or a library like Socket.io is a popular project. It involves creating a server and client that can communicate in real-time. This tests your understanding of real-time data transfer and WebSocket protocol.

Project 4: File Uploader:

  • Creating an application to upload and store files, possibly with a feature to view or download them later. This requires knowledge of handling file uploads, managing file storage, and understanding Node.js streams.

Project 5: Data Aggregation Tool:

  • This could involve pulling data from multiple sources, processing it, and presenting it in a unified format. It demonstrates your ability to work with APIs, handle asynchronous operations, and manipulate data.

Project 6: Web Scraper:

  • Developing a simple web scraper to extract data from websites. This shows your skills in making HTTP requests, parsing HTML, and potentially dealing with pagination and asynchronous loading.

Project 7: CLI Tool:

  • Creating a command-line interface (CLI) tool for a specific task, like file manipulation or data processing. This tests your knowledge of Node.js modules for handling file systems, process arguments, and user inputs.

Project 8: API Integration:

  • Integrating with an external API, like a weather service or social media API, to fetch and display data. This involves understanding third-party APIs, handling JSON data, and dealing with API authentication and rate limits.

Project 9: Simple Blogging Platform:

  • A project where you create a basic blogging platform, allowing users to create, edit, and delete posts. It's a practical demonstration of CRUD operations, database interactions, and possibly user authentication.

Project 10: Task Scheduler or Cron Job:

  • Building a Node.js application that performs tasks at scheduled times, similar to a cron job. This involves setting up timed events, possibly interacting with a database or external services, and understanding event loops and timing in Node.js.

Project 11: GraphQL API Implementation:

  • Building a GraphQL API instead of a traditional REST API. This involves setting up a GraphQL server, defining schemas, and creating resolvers. It shows your ability to work with modern API technologies and manage complex data relationships.

Project 12: E-commerce Backend System:

  • Developing the backend for a basic e-commerce system. This includes handling product listings, user carts, orders, and possibly integrating payment processing. It demonstrates your understanding of e-commerce concepts and database relationships.

Project 13: Social Media API:

  • Creating a simplified version of a social media backend, handling features like posts, likes, and comments. This tests your ability to model social interactions in a database and handle relational data.

Project 14: Image Processing Service:

  • Building a service to upload, process, and retrieve images. This could involve resizing, filtering, or other transformations. It shows your skills in working with binary data and third-party libraries for image processing.

Project 15: IoT Device Data Processor:

  • Developing a system to collect, process, and display data from IoT (Internet of Things) devices. This might involve handling real-time data streams, storing time-series data, and creating APIs for data retrieval.

Project 16: Custom Content Management System (CMS):

  • Building a basic CMS to create, manage, and display content. This project demonstrates your ability to create user-friendly interfaces for content management and understand content delivery mechanisms.

Project 17: Microservices Architecture Setup:

  • Setting up a simple microservices architecture, where different functionalities are broken down into separate, smaller services. This tests your understanding of microservices concepts and inter-service communication.

Project 18: API Rate Limiter:

  • Implementing rate limiting on an API to prevent excessive use of resources. This involves understanding server load management, middleware, and possibly storing request data in a database or cache.

Project 19: Error Logging and Monitoring System:

  • Creating a system for logging errors and monitoring application health. This could include setting up logging frameworks, integrating with external monitoring tools, and creating dashboards for real-time monitoring.

Project 20: Localization and Internationalization:

  • Building an application that supports multiple languages and regional settings. This tests your understanding of localization (l10n) and internationalization (i18n) principles, as well as handling language-specific data and formats.