Song recommender built end-to-end combining BeautifulSoap4 and Spotify API

Web Portal for the [RUMusic](https://github.com/vraj152/RUMusic)

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.

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.

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.

These individiual projects are part of the coursework for the Coursera University of Washington course. I've also tried some fun new experiments with the data. Have fun checking them out !!

API written in python for SongRadar

🍎 ⋆ 🍦 🎀 я люблю корейские песни и решил создать репозиторий с открытым исходным кодом (🍬𝓅𝑒𝓃 𝒮😍𝓊𝓇𝒸𝑒), чтобы внести свой вклад в сообщество открытого программного обеспечения, всё это написано на человеческом языке (англ + рус) сочетание, что помогает больше понимать всё значение 🎀 🍦 ⋆ 🍎

Song recommender system using Turicreate library to recommend songs.

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

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.

Machine Learning Algorithms using GraphLab

A mac-based song analyzer application built to classify and play songs based on your mood.

Song Recommendation using K-NN.

Spotify Playlist Generator

A website which suggest songs on the basis of the recognized facial emotion.