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DataDepot is a streamlined data management platform built with Next.js and Firebase. It provides users with intuitive tools for uploading, organizing, and managing their files effortlessly.

Home Page: https://data-depot-sooty.vercel.app

TypeScript 96.31% CSS 3.21% JavaScript 0.48%
clerkauth firebase nextjs14 reactjs typescript zustand

datadepot's Introduction

DataDepot - Cloud file storage service

Welcome to DataDepot,your simple Dropbox clone built using Next.js and Firebase. DataDepot allows you to upload files, rename or delete already uploaded files, providing you with a convenient way to manage your data.

Deployed Site : DataDepot

Features

  • File Management

Upload Files: Easily upload files to your DataDepot storage. Rename Files: Rename existing files to better organize your data. Delete Files: Remove files you no longer need.

Tech Stack Used

Frameworks

    Next.js Logo     |     React logo    

Libraries

    Shadcn/ui logo   |     Clerk logo     | Zustand logo

Database and Styling

Firebase logo  |   TailwindCss Logo

Installation

Clone the repo from github to your machine git clone https://github.com/DollyXSoul/DataDepot.git

Install Dependencies:

cd DataDepot
npm install

Set Up Firebase:

  • Create a Firebase project on the Firebase Console.
  • Enable Firebase Authentication and Firebase Storage.
  • Copy your Firebase configuration details.

On the top level directory,rename the file .env.example as .env and add the required keys to the file.

In the project directory, you can run:

npm run dev

Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.

Contribution

If you would like to contribute to DataDepot, please follow these steps:

  1. Fork the repository
  2. Create a new branch for your feature
  3. Commit your changes
  4. Push to the new branch
  5. Create a pull request

Acknowledgements

We would like to extend our gratitude to the following resources and libraries, which helped make RecipeRoundUp possible:

License


This software is licensed under the MIT License.

Copyright (c) 2024 Dolly Chauhan

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