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mood-music-recommender

The proposed method is based on the captured facial expressions, and music is played automatically.

mood-tunes

Sentiment analysis enables natural language processing techniques to classify the emotional content of data. Sentiment analysis has a wide range of use cases including, identifying sentiments of online conversations, customer reviews, and feedback. In this research, we will examine the use of sentiment analysis in identifying the emotional content in musical lyrics using unsupervised learning techniques. The result of the experiment will show the use of sentiment analysis in classifying music based on the sentiments of the lyrics.

mood.fm-public

Spotify playlist generator based on audio features requested by user.

mood_based_music_recommendation_system

[Python] Utilised facial recognition (based on Deep Neural Network), similarity based filtering algorithm and Spotify API to recommend songs based on users' current mood.

moodify

A NLP webapp that predicts users' moods via sentiment analysis, and recommends music artists based on the different moods. Also allow users to generate their own lyrics by incorporating n-gram word predictions with data from different artists.

moodviamfccregression

Valence and arousal extraction using libROSA MFCC and regression. Regression factors calculated on 50 song test dataset. Evaluated on whole dataset.

moodycat

Real-time facial emotions recognition model for music recommendation deployed as a Streamlit application

moodzik

MoodZik is a web app that utilizes Machine Learning to analyze its user's face through their webcam, identify their current emotions, and compose music based on how they are feeling.

moonlight

Optical music recognition in TensorFlow

mosaic-music-based-recommendation-engine

Microsoft Engage'22 Project: 🎧 Mosaic Music based recommendation system which works on hybrid recommendation. For User to choose Song on his/her choice.

mosquitto

Eclipse Mosquitto - An open source MQTT broker

motion-detection

motioncaptcha

MotionCAPTCHA jQuery Plugin - Stop Spam, Draw Shapes

motrix

A full-featured download manager.

movement-tracking

UP - DOWN - LEFT - RIGHT movement tracking.

movie-app

Movie App - Kotlin, MVVM

movie-box-office-analysis

Data Viz and Analysis using seaborn and plotly from TMDb dataset

movie-recommendation-system

Movie Recommendation System Using neo4j - Final Project for CSCI E-89 Deep Learning Harvard University

movie-recommendation-system-1

Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.

movie-recommendation-system-2

Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.

movie-recommendations-system-using-python

Developed a system to study the underlying mechanism behind the ways videos on Youtube, movies on Netflix, music on Spotify, etc are recommended after we've watched or listened to something. This project was an understanding through learning initiative. Got to learn about the models these companies use to analyze their data & how they use the user data to improve their performance. Prepared the system using simple Python modules like Sci-kit learn, seaborn, matplotlib, pandas & numpy. This was a Data Analysis project based on the primary data analysis tools.

movie-recommender-based-on-user-rating

Recommender systems are widely used in product recommendations such as recommendations of music, movies, books, news, research articles, restaurants, etc. The objective is to build a Movie Recommender System based on the Customer ratings.

movie-recommender-system

Movie Recommender System is a system that seeks to predict or filter movie preferences according to the user's choices. There are lots of techniques to achieve this system with each with its merits and demerits. Recommender Systems can be utilized in diverse areas including music, news, social and so on. Movie Recommender System is just one instance of a Recommender System.

movie_recomendation_system

"Movie Runner" - Collaborative Filtering Based Movie Recommendation System

moviebookingui-android

This is a concept of fetching a user's cinema show details like venue, movie, date & showtime before allowing him to place a cinema F&B order.

moviedb

MovieDB is an Android application developed using TMDB API. 🎞 🍿 📺

movieid

Mac OS X movie id and metadata browser

movies-recommendations

Mostly used for benchmarking redis and cassandra. Api for recommending movies, used libs: flask, pandas, numpy, redis, cassandra.

movies4j

Sample movie recommendation application for Neo4j and Node.js.

movies_recommendation_system

A movie recommendation system, or a movie recommender system, is an ML-based approach to filtering or predicting the users’ film preferences based on their past choices and behavior. To see the demo visit https://mrs-prashantkr.herokuapp.com/