Promptify is a web app that generates Spotify song recommendations from text or image inputs using ChatGPT API. Users can describe a moment or upload a photo to get personalized music recs.

Music recommender system radio javan

Data Science internship at Lets grow more

Unleash your audio muse: AI-powered music recommendations with Spotify and Streamlit. Discover new favorites based on what you love.

This repository compares two methodologies for music recommendation: Q-learning and Deep Reinforcement Learning (Dueling DQN), applied to a dataset of music tracks with features like genre, artist, and danceability. The goal is to build a system that recommends music based on user preferences.

This project aims to clarify the role of meta data in music genre classification and how helpful or hurtful it can be to music recommendation systems. Much experimentation was done with multiple different machine learning models and results were analysed and collated into a single academic paper

An end-to-end ML project that generates popular music recommendations for radio stations

Build a personalized Music Recommendation System using Spotify API and Python. The system uses content-based and hybrid filtering to suggest songs based on user preferences, enhancing the music discovery experience.

Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.

Code for Direct-Reconst proposed in Multi-Task Learning Approaches to Leveraging Music Source Separation In Music Similarity Representation Learning Based On Individual Instrument Sounds

Code for Cascade-FT proposed in Multi-Task Learning Approaches to Leveraging Music Source Separation In Music Similarity Representation Learning Based On Individual Instrument Sounds

⭐ 本科毕业设计：基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码，使用Django构建了前后端。

A Flask-based web application aimed at recommending songs

🔥 A music recommendation system that generates Spotify music playlist based on your mood and preferences 🦄

Natural Language Processing Chat Bot that can recommend the user songs depending on the user mood and favourite genres.

A Music Recomendation System which recommends music to the user on the favourite song input by the user

Awesome Datasets for Music Recommendation

This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.

Face recognition, Emotion Detection and Tailored Music Recommendation

Sentiment-Driven Spotify Music Recommendation