UC Berkeley team's submission for RecSys Challenge 2018
Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet
In this project, I create a recommendation algorithm to give song recommendations on Spotify.
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
Web app for custom Spotify playlists based on track audio properties such as danceability, energy, tempo & your personal Spotify listening analysis
My first end-to-end project, using Web Scraping with BeautifulSoup and Spotify API. Clustering songs based on its audio features.
A simple song recommendation engine using K-Nearest Neighbors with the Spotify Music Dataset
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
Song Recommendation using K-NN.
SpotifySongRecommender is a C++ project for analyzing and recommending songs. It includes features like recommending songs and artists based on musical genres, and generating popularity rankings by artist or genre.
Spotify Playlist Generator
A website which suggest songs on the basis of the recognized facial emotion.
Sangeet.com made use of Spotify API to get songs recommendations and provide link so that you can enjoy more fresh songs. Made using html, css, node, express with help of Postman
Machine Learning Algorithms using GraphLab
A comprehensive song recommender system. Features include scraping Billboard Hot 100, processing the Million Song Subset, clustering with KMeans/DBScan, and a Streamlit app for generating music recommendations.
A mac-based song analyzer application built to classify and play songs based on your mood.
I analysed a dataset obtained from last.fm to recommend the next songs a user is likely to hear. Used NearestNeighbor algorithm for predictive analysis.
The best trvia app for music lovers, boasting the ability to retrive songs realtime based on the users spotify taste profile! Allows multiple users to log in or even select songs based on your favourite artists.
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