johnromo04 / music-rec

Music Recommendation System with Spotify API & TensorFlow

A simple machine learning project that recommends music tracks based on user preferences using TensorFlow and the Spotify API.

Table of Contents

• Overview
• Features
• Prerequisites
• Installation
• Usage
• Acknowledgements

Overview

This recommendation system ingests user listening history from Spotify and processes the data using TensorFlow models to generate track recommendations.

Features

• Fetch user listening history with the Spotify API.
• Process and analyze data to identify user preferences.
• Use TensorFlow deep learning models for recommendation predictions.
• Generate a playlist with recommended tracks.

Prerequisites

• Python 3.x
• Spotify account
• Spotify Developer API credentials (Client ID & Client Secret)

Installation

1. Clone the Repository:

   git clone https://github.com/your_username/music-recommender.git
   cd music-recommender