English Reading and Learning Platform using Artificial Intelligence, Deep Learning and Micro Services

In this era, the design and development of an English reading and learning platform based on micro services resolves many issues and foster an effective, scalable and robust online education system. Even though the previous researches suggested several techniques and models still the existing system struggle with adaptability and performance in dynamic educational environments, where frequent updates and personalized learning paths are essential. By leveraging micro services, the platform aims to optimize scalability and support diverse learning activities, from vocabulary building to reading comprehension exercises, recommending content and tracking progress for improving both the efficiency of content delivery and the personalization of the learning process. This paper proposes a novel approach by combining deep learning models, AI models and micro services. The core system is categorized into three layers; view layer, Logic layer, and model layer based on the individual functionality of the layer. Specifically, Logic layer is further divided into subsection for multiple services. This approach is evaluated in terms of accuracy, precision, recall and f1-score which resulted with greater accuracy rate.