What languages, frameworks, platforms, cloud services, databases, APIs, or other technologies did we use?

[ajay-dhangar]

To bring AIBuddies to life, we utilized a combination of modern technologies, tools, and platforms to ensure a seamless, scalable, and interactive learning experience. Below is a breakdown of the technologies used:

• Languages:

  • TypeScript and JavaScript for building interactive front-end components.
  • Markdown for writing documentation and tutorials.

• Frameworks and Libraries:

  • React: For building a dynamic and component-based user interface.
  • Docusaurus: To manage documentation, tutorials, and static site generation.
  • Tailwind CSS: For styling and creating a responsive, modern design with built-in dark mode support.
  • Mermaid.js: To create visual diagrams and graphs, such as mind maps and journey diagrams for learning paths.

• Platforms:

  • GitHub: For version control, collaboration, and hosting the project repository.
  • Vercel: For deploying the web application and ensuring smooth delivery.

• Cloud Services:

  • AWS (Amazon Web Services): For hosting additional services and ensuring scalability.
  • Firebase: For real-time database functionalities and user authentication.

• Databases:

  • MongoDB: Used for storing user data, learning progress, and project details.

• APIs:

  • OpenAI API: For generating AI-powered content and answering user queries.
  • GitHub API: To integrate project showcases and repositories.

• Other Tools:

  • Figma: For designing the user interface and creating prototypes.
  • Postman: For API testing and integration.

Built with

• Languages: TypeScript, JavaScript, Markdown
• Frameworks and Libraries: React, Docusaurus, Tailwind CSS, Mermaid.js
• Platforms: GitHub, Vercel
• Cloud Services: AWS, Firebase
• Databases: MongoDB
• APIs: OpenAI API, GitHub API
• Tools: Figma, Postman