Skip to content

Learning Platform using Virtual Reality and Machine Learning

Notifications You must be signed in to change notification settings

gamandeepsingh/LeARn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

leARn 🚀

Augmented Education Without Boundaries, Where Every Mind Matters.

React Firebase Node.js HTML5 CSS3 AR OpenCV Machine Learning Tailwind CSS Unity Google Cloud Docker Cloud Vision API Cloud Build ARCore

Overview

Welcome to our Learning Platform, which utilizes Virtual Reality (VR) and Machine Learning (ML) technologies to provide an immersive and personalized learning experience. At leARn, we are revolutionizing education through the power of augmented reality by making education more engaging, interactive, and accessible, we are contributing to the overall goal of ensuring inclusive and equitable quality education for all.

Usage 🛠️

Frontend Setup 🖥️

  1. Clone the repository to your local machine and get into directory.

    git clone https://github.com/gamandeepsingh/learn
    cd leARn
  2. Install the required packages.

    npm install
  3. Start the development server.

    npm start
  4. Open the project in your browser at http://localhost:3000 to view your project.

  5. Create your React components and add your styles using Tailwind CSS classes. You can also create new CSS files and import them into your components.

  6. The project is set up to use postcss-cli to process your CSS files. You can add your own tailwind.config.js file to customize your Tailwind setup.

Backend Setup (Firebase) 🔥

  1. Set up Firebase for your project by following the Firebase documentation.

  2. Configure Firebase credentials in your project.

  3. Install Firebase tools globally.

    npm install firebase
  4. Your backend is now live on Firebase, and you can interact with it from your frontend.

About

Learning Platform using Virtual Reality and Machine Learning

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published