A system for generating music playlists based on the results of audio content analysis. The MusAV dataset is used as a music audio collection, music descriptors are extracted using Essentia, and a simple user interface is used to generate playlists based on these descriptors.

The Book Recommender System is a collaborative filtering-based approach that suggests personalized book recommendations based on user preferences and similarities. The system provides a user-friendly interface through Streamlit for an enhanced user experience.

A model which can identify similar musical artists based on user listening history from ListenBrainz.

AI-powered game recommendation system using KNN and collaborative filtering, with Flask and C# APIs and an Angular frontend

A content-based system recommends movies to an input user based on the weighted genre score of a movie and a collaborative filtering system recommends movies liked by other users having a similar taste profile as the input user.

Book Recommendation System

An R-based engine to recommend movies using collaborative filtering.