A powerful multilingual messaging app that brings people together across language barriers. Users can chat seamlessly in their native languages, with real-time translations. It’s like having a personal language interpreter right in your pocket! 🌐🗣️💬🔥

• User creation and login: Users are able to create simple accounts with a username and a password. There is basic authentication that checks if the username and password are valid before allowing application usage.
• Chat room management: Users can create and delete chat rooms. There is a left sidebar that allows users to manage all of their active chat rooms.
• Adding users to chat rooms: Users that create their own chat rooms can add as many other users to their chat rooms and receive messages from one another.
• Language translations: Messages can be sent in the users' native languages. They will be translated to the receiving users' native languages.

• ASP.NET

• HTML, CSS, JavaScript

• C#, PostgreSQL

• DeepL Translate API

• ASP.NET
  • ASP.NET defined the Model-View-Controller (MVC) design pattern for the entirety of the application.
  • Chat room, user, and message models were defined as data models for how they would stored in the database.
  • Views were the UI components and would be served via server-side rendering.
  • Controllers handled user input, such as sending messages, by passing data through forms and processing them through the RESTful API.

• HTML

  • HTML and CSS form the foundation for the user interface and visual components.
  • The login page, landing page, and various forms were developed using HTML.
  • CSS was used to style these components, ensuring a cohesive and visually appealing design.

• JavaScript

  • JavaScript played a crucial role in client-side interactions.
  • Key functionalities included:
    • Creating chat rooms dynamically.
    • Navigating between existing chat rooms.
    • Adding users to chat rooms.

• C#

  • C# was the language of choice for creating a RESTful API.
  • Server-side actions and rendering were handled using C#.
  • CRUD operations related to chat rooms, user management, and message handling were implemented.
  • Dependency injection facilitated loose coupling with the database.

• PostgreSQL

  • PostgreSQL served as the database.
  • It stored information such as user profiles, chat room details, and messages.
  • The relational nature of PostgreSQL ensured seamless connections between users and the chat rooms they participated in.

• DeepL Translate API
  • DeepL Translate API handled message translations.
  • Integrated the API into a translation method that took a message as a string and returned the translated message as output.