Music Recommendation System

Project Description

The Music Recommendation System is a revolutionary platform that redefines the way users discover music. In an era of information overload, our system employs cutting-edge Natural Language Processing (NLP) techniques to harmonize user preferences with a diverse musical landscape. By analyzing textual descriptions and lyrics, we bring users closer to their preferred melodies.

Getting Started

To get started with the Music Recommendation System, follow these steps:

Prerequisites

• Python 3.x
• Required Python packages (specified in the project's requirements.txt)

Installation

1. Clone the GitHub repository:

   $ git clone https://github.com/ChelsaMJ/music-recommendation-system.git

   $ cd music-recommendation-system

2. Install the required Python packages:

   $ pip install -r requirements.txt

Usage

Discovering music with our system is a seamless experience. Simply:

1. Select a song from the dropdown menu.
2. Click "Show Recommendation."
3. Explore the recommended songs and their album covers.