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🐦 Y is a simplified version of Twitter, developed using the MERN stack. I designed and implemented a CI/CD pipeline with GitHub, Docker, Travis CI, and AWS, automating the deployment process to AWS.

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🐦 Y

Y is a simplified version of Twitter, designed to demonstrate the core features of social media platforms such as tweeting, following users, and liking tweets. Visit the website here.

Technologies Used

  • Frontend: React.
  • Backend & DataBase: Node.js with Express for the server, MongoDB for the database, and Mongoose for object data modeling.
  • Deployment: AWS (Amazon Web Services) for hosting the application.
  • Containerization: Docker for creating multiple containers for different parts of the application, ensuring easy deployment and scalability.
  • CI/CD: Travis CI for automating tests and deployment to AWS.

Features

Completed Features

  • User Authentication: Users can sign up, log in, and log out.
  • Tweeting: Users can post tweets, view their own, and see those from followed users.
  • Follow/Unfollow: Users have the ability to follow or unfollow others.
  • Likes: Tweets can be liked or unliked by users.
  • Tweet Comments: Users can comment on tweets.
  • Continuous Integration/Deployment: Utilizing Travis CI for CI/CD, hosted on AWS.

Features in Development

  • Unit Testing: Implementing comprehensive unit tests.
  • Tweet Sharing: Enabling tweet sharing to user timelines.

Future Features

  • Dark Theme: Introducing a dark theme for the UI.
  • Profile Avatars: Allowing users to upload and change their profile pictures.
  • Mobile Optimization: Enhancing UI for mobile devices.
  • Advanced Search: Developing a feature for filtering tweets and profiles by keywords, tags, and dates.
  • User Recommendations: Creating a system to suggest relevant users and content based on activities and followings.

About

🐦 Y is a simplified version of Twitter, developed using the MERN stack. I designed and implemented a CI/CD pipeline with GitHub, Docker, Travis CI, and AWS, automating the deployment process to AWS.

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