Smart Stream Recommender - Java with Design Patterns

Overview:

Welcome to the Smart Stream Recommendation System, a Java-based project incorporating cutting-edge Object-Oriented Programming (OOP) concepts. This robust and modular application excels in delivering personalized stream recommendations to users based on their unique listening history.

Key Features:

Advanced Recommendation Algorithm:

• Implemented an algorithm for precise stream recommendations tailored to individual user preferences.

CSV Input Processing:

• Seamless integration with various data sources through the processing of key CSV files: streamers.csv, streams.csv, users.csv, and commands from comenzi.txt.

Design Patterns Implementation:

• Command Pattern:

  • Encapsulation of commands in comenzi.txt for seamless extensibility without modifying existing code.

• Factory Pattern:

  • Centralized creation of diverse stream types (podcasts, music, audiobooks) to enhance flexibility and accommodate future extensions.

• Singleton Pattern:

  • Ensures a single instance of the recommendation system, maintaining consistent system state throughout its lifecycle and optimizing resource consumption.

• Builder Pattern:

  • Step-by-step construction of complex stream objects for flexible customization, simplifying the stream creation process.

User-Friendly Platform:

• A user-friendly interface facilitating user interaction, enabling easy addition, and listening of various stream types, including podcasts, music, and audiobooks.

Comprehensive Testing:

• Test Folder:

  • A dedicated tests folder includes a suite of tests ensuring the system's reliability, accuracy, and robustness.

  • Unit Tests:

    • Validate individual components for correctness and functionality.

  • Integration Tests:

    • Ensure seamless collaboration between different modules and components.

  • End-to-End Tests:

    • Verify the entire system's performance, from input processing to recommendation generation.

• Gradle Test:

  • Leverage Gradle for automated testing, providing a consistent and efficient testing environment.

System Advantages:

The integration of OOP principles, design patterns, and comprehensive testing, including Gradle automation, significantly elevates the system's:

• Maintainability
• Scalability
• Extensibility
• Reliability