ETL Data Pipeline built using AWS Offerings
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Updated
Mar 23, 2024 - Jupyter Notebook
ETL Data Pipeline built using AWS Offerings
This repository is meant to display knowledge and skills using the Spotify API.
An ETL Data Pipeline Using Terraform, AWS, and Spotify
This allows the user to enter in a date. The program will then scrape the billboard top 100 to get a list of songs that were popular on that date. The program will then create a playlist in the user's spotify account using those songs.
Utilising the Spotipy API to visualise personal listening patterns.
Takes Billboard top 100 tracks from a user-specified date and creates a playlist in Spotify.
An e-Travel Assistant for road trips with features such as Music recommendations, locating nearby services, viewing souvenirs typical to a place, connecting with others travelling to the same place and keeping a track of your travel history.
Scrapes the top-level comments from a Reddit thread and creates a Spotify playlist. Used on the Beautiful Songs r/AskReddit thread.
Mood-based music recommendation system utilizing Spotify API
A Discord bot that allows you to have a better Spotify Listening Party experience with your friends.
A program which extracts your top spotify songs and stores them in a csv file
Spotify playlist generator based on the tracks from einslive Klaus Fiehes 1LIVE FIEHE
A machine learning model built with computer vision and music analysis to tune your music queue based on your current mood.
Creates and updates Spotify playlists that are combinations of your sub-playlists
Repository of Project 3: Hot Music Recommender. Web scraping the billboard hot 100 charts and scraping audio features using Spotifys API Spotipy to create a music recommendation system based on a user input. The model is built using K-means clustering algorithm.
Modelagem de BD Relacional utilizando API do Spotify para extração de informações e SQLite para armazenamento dos dados
Have you ever wondered what's actually going on at a specific country music scene? You can now engage with this dashboard to get to know, understand and hear what people from a specific country is actually listening to. From track length, bpm, key, to its popularity!
This is our Design Project for the semester.
Python to generate a customized Spotify playlist based on historic user listening data
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