A scalable, multilayered enterprise application designed to manage personal music collections and discover new music through an integrated recommendation engine.

• Features
• Architecture
• Installation

• User Account Management
  • Registration, login, and profile management
• Music Library Management
  • CRUD operations for music items (albumTS, artists, trackTS)
  • Categorization and tagging (genre, mood, etc.)
• Search & Discovery
  • Advanced search functionalities
  • Recommendation engine suggesting new music based on user preferences

This project follows a multilayered design to ensure scalability and maintainability:

• Presentation Layer
  • Responsive GUI where users interact with the app.
• Business Logic Layer
  • API server handling core application functionality and recommendation algorithms
• Data Layer
  • The database where all the music and user data is stored.

Clone the Repository:

git clone https://github.com/WioN780/lsea-meloman.git
cd lsea-labs