Архітектура інтелектуальної інформаційної системи для автоматизованого оцінювання академічних текстів на основі мікросервісів

Abstract

The paper presents the architecture of an intelligent information system for automated assessment of academic texts based on microservices. A microservices approach is proposed to decompose the system into specialized modules: document upload, text preprocessing, AI analysis, AI-generated content detection, and reporting. The use of NLP models for linguistic analysis, asynchronous message queues for handling peak loads, and an API Gateway for service orchestration is substantiated. The system ensures data confidentiality throughout the entire processing lifecycle and enables independent updates of AI models without service interruption