MUSIC RECOMMENDER SYSTEM

A hybrid music recommender system which uses content-based filtering coupled with collaborative-based filtering to provide a personalised music listening session for a user. Our pipeline incorporates K-Mean clustering algorithm and a Matrix Factorisation-based model to predict the likelihood of the songs the user would like to listen to based on his previous listening sessions and music taste.

Implementation

Step-1

Clone the repository and change the directory to final_app.

Step-2

Install the necessary libraries.

pip3 install -r requirements.txt

Step-3

Run the web application using the following command.

streamlit run music_recommend.py 

Screenshot

Here is a screenshot of our project:

Team

• Mentor: Madhav Kadam
• Lovely Bharadwaj
• [Aman Poddar]
• Soham Pandit
• [Harshvardhan]
• [Sai Sashank]