Welcome to the Brain Box Backend repository! This backend powers the Brain Box mobile application, which helps users learn English through an engaging and interactive experience using movie subtitles. The backend is modularized, developed in Java, Python, and JavaScript, and is containerized using Docker for easy deployment.
Brain Box is an innovative platform designed to make learning English enjoyable and effective. By leveraging movie subtitles, users can improve vocabulary, comprehension, and pronunciation in a fun and engaging way.
The backend is designed to handle data processing, user interactions, and subtitle management, ensuring a smooth and scalable experience.
The backend is divided into several key modules, each developed in the most suitable language for the task:
- Java: Core logic, subtitle processing, and user management.
- Python: Vocabulary tools, pronunciation analysis, and natural language processing.
- JavaScript: Interactive exercise creation and real-time user feedback.
All modules are containerized with Docker for easy orchestration and scaling.
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🎬 Subtitle Processing (Java)
- Handles subtitle parsing, processing, and storage.
- Provides APIs to retrieve subtitles based on user preferences.
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📚 Vocabulary Management (Python)
- Manages vocabulary lists and learning tools.
- Tracks learning progress using spaced repetition algorithms.
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🎮 Interactive Exercises (JavaScript)
- Generates interactive exercises like fill-in-the-blank and multiple-choice questions.
- Includes pronunciation practice using real movie dialogue.
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📊 User Progress and Personalization (Java)
- Tracks user progress and provides personalized learning paths.
- Manages secure user data, authentication, and authorization.
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🗣️ Pronunciation Practice (Python)
- Compares user pronunciation with movie dialogue.
- Provides feedback using machine learning models.
Ensure you have Docker and Docker Compose installed on your machine.
git clone https://github.com/omonovabdulaziz/BrainxBox
cd brain-box-backend