Sound Garden: Music sharing application

📖 Table of Contents

➤ About The Project
➤ Overview
➤ How to Use the Project
➤ Credits ## 📝About The Project Sound Garden is a music sharing application that allows users to:
Create/Sign in to an account
Upload/Delete/Edit/Like/Download/Stream songs
Search for songs
Like songs, saving them for later listening
View a list of liked Songs
View all songs for a Genre
View uploaded songs
View profile
Edit profile details
View artists by name (Coming soon)
Change profile banner photo (Coming Soon)
Search for & View another user's profile (Coming Soon)

☁Overview

This project was created to give users the ability to share music with each other.

The technologies involved are:

1) HTML/CSS (JSX)(Front-End) 2) React.js (Front-end) 3) Firebase (Back-end) 4) Firestore (Database) 5) Google Cloud Functions (To control parts of back-end) 6) Algolia (Search functionality)

The reason I choose these technologies is because React is apart of my main stack, and it's something I use often. HTML/CSS are a must when working with React, due to the nature of JSX. At the beginning of this project I hadn't expanded my development skills into full-stack, which is why I chose to work with the most viable solution for the back-end, which happened to be Firebase. Firebase comes with a lot of built in tools such as Firestore + Google Cloud Functions, which is what I needed to create a functioning database and CRUD system.

Some challenges that I faced were caused by the choice of technologies. The SERN stack would have been the best choice for this application because Firestore is a non-relational database. With a relational database, it would have been much easier to tie information together, and create models before initiating the project. I was able to overcome the obstacles that come with using a non-relational database by implementing cloud functions that gave the database functionality to perform similar to a relational database. Another thing that helped was setting strict rules for the collections within the database.