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The goal for this project is to create an LLM based music recommendation system. This project is currently in its very early stages, however the goal of this project is to create an extremely flexible music recommendation system using a chat focused LLM on the frontend to interact with a robust recommendation system on the backend.
An application that recommends music on the basis of previous heard songs of a user using a ML model. Using Collaborative-based filtering to recommend other songs similar to what the user likes. Download Data set from Kaggle (Million song data set)
This repository contains the code and dataset used in the research paper "Driver's Companion: Drowsiness Detection and Emotion Based Music Recommendation System" published in the 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).