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.
Web app for custom Spotify playlists based on track audio properties such as danceability, energy, tempo & your personal Spotify listening analysis
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.
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
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.
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.
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
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.
A mac-based song analyzer application built to classify and play songs based on your mood.
Following is a song recommender NN model in google colab using turiCreate developed and used by apple for research. It aims to predict likeable songs based on their history and data of liked ones.
Recommending songs with personalization and based on simple popularity-based recommender.
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