Electrotechnical and Computer Engineering
Vol. 41 No. 08 (2026): Proceedings of the Faculty of Technical Sciences
AI System for Educational Content Analysis with LLM Integration in Service Fabric Microservices
Abstract
This work presents an intelligent system for analyzing and evaluating educational content. The system is built as a distributed application using Microsoft Service Fabric microservices. It can receive, process, and evaluate student work with the help of large language models (LLMs), which create automatic feedback. The system uses MongoDB to store data and ReliableDictionary for fast access in the services. The goal is to improve teaching and evaluation by using automation and artificial intelligence.
References
- [1] Microsoft Service Fabric. Приступ: 20.10.2025.
- Кључне речи: Service Fabric, микросервисна
- архитектура, Microsoft. Доступно на:
- https://learn.microsoft.com/en-us/azure/service-fabric/.
- [2] MongoDB. Приступ: 20.10.2025. Кључне речи:
- MongoDB, NoSQL, база података. Доступно на:
- https://www.mongodb.com/.
- [3] React – The library for web and native user interfaces.
- Приступ: 21.10.2025. Кључне речи: React, JavaScript,
- фронтенд развој. Доступно на: https://react.dev/.
- [4] Groq API. Приступ: 22.10.2025. Кључне речи: Groq,
- LLM, вештачка интелигенција. Доступно на:
- https://groq.com/.
- [5] OpenAI ChatGPT. Приступ: [20.10.2025 –
- 02.11.2025]. Кључне речи: ChatGPT, OpenAI, AI
- помоћник. Доступно на: https://chat.openai.com/.
- [6] GitHub Repository: Educational Analysis System –
- Service Fabric Implementation. Приступ: [20.10.2025 –
- 02.11.2025]. Кључне речи: GitHub, код, Service Fabric,
- микросервисна апликација. Доступно на:
- https://github.com/MastilovicRadoslav/CRUIS_Auto_Gra
- der.