Music Recommender System
Music recommender system radio javan
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.
Plex collection creator and recommendator using MuQ or LAION-CLAP
A comprehensive song recommender system. Features include scraping Billboard Hot 100, processing the Million Song Subset, clustering with KMeans/DBScan, and a Streamlit app for generating music recommendations.
Content-based music recommender in Python that ranks songs using weighted feature similarity (genre, mood, energy, tempo, valence).
This is a basic music recommender I made for my Final Project.
Small app making use of spotify's API to browse and play music.
Simple recommendation system using the Spotify API to get the features and analysis of tracks
A Streamlit-based Music Recommendation System using Machine Learning.
An AI-powered music recommendation system that suggests study playlists based on mood, task type, and energy level.
Stop scrolling endlessly trying to find what to listen to next. NayaSur is a full-stack, AI-powered assistant designed specifically for music lovers. By combining the conversational intelligence of the Llama-3.3 model with a sleek React UI, NayaSur takes your mood—be it studying, partying, or relaxing—and instantly matches it with the perfect song.
A Mood-Based Music Recommender that utilizes existing technologies like facial analysis and emoji-based quiz in a way that makes it fun and engaging for the users to interact with the application and enhance their overall experience when searching for music to listen to on Spotify.
An AI-powered emotion-aware music recommender that detects your mood from facial expressions and delivers personalized music instantly.
A real-time emotion-based music player — detects your facial expression via webcam using an ONNX deep learning model and automatically plays a matching YouTube song for your mood.
Creating a recommender system that will recommend new musical artists to a user based on their listening history. Suggesting different songs or musical artists to a user is important to many music streaming services, such as Pandora and Spotify. In addition, this type of recommender system could also be used as a means of suggesting TV shows or …
ML-powered music recommendation platform built with Flask, Next.js, and scikit-learn
Music recommendation using neural network
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