Briefly describe the project you worked on. What did you create, who did you create it for, and how did you approach this project?

In the music recommendation project, I created a sophisticated recommendation system using Neural Collaborative Filtering, Hybrid Recommender System, and SVD+NN approaches. This system was developed to enhance personalized music recommendations for users. The project aimed to provide accurate song recommendations based on user preferences and behavior. I approached the project by leveraging cutting-edge techniques, training models on large datasets, and evaluating performance metrics such as RMSE and MAE. This project was undertaken as part of my Advanced Data Mining coursework, showcasing my expertise in recommendation systems and neural networks.