LetsGrowMore DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which LSTM, Decision Tree, Random Forest and XGboost have been used.
Simple and powerful music recommendation system using machine learning to suggest personalized music recommendations based on user preferences. and many customizations.
Designed a music recommendation system that leverages FER python library to suggest songs based on a user’s facial emotion.
Item based music recommender with KNN algorithm .
music recommendation based on users facial emotion
About Flask web app for recommending music based on your facial expressions using FER 2013 dataset and Spotify api
crowd music recommendations repository
Mobile & Web Application for Music Taste Expansion
Mini project for content-based music recommendation based on user-specific classification problem.
Music Recommendation System using K-Means Clustering
A web application that recommends songs and playlists based on facial emotion detection. Utilizes the Spotify API to provide personalized music suggestions based on real-time emotion analysis from your webcam.
Deep Learning Based Song Recommendation System
Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019. under the guidance of Ardent Computech Pvt. Ltd.
The system uses spotify API to extract features from music and uses it to train the model in order to get real time music recommendation
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