An LLM-Driven Oracle Cloud Chatbot for Higher Education
| dc.contributor.author | BHAGAVATI 1NH24MC029 | |
| dc.date.accessioned | 2026-08-17T07:29:04Z | |
| dc.date.available | 2026-08-17T07:29:04Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | The rapid advancement of Artificial Intelligence (AI) and cloud computing technologies has significantly transformed modern educational environments. Traditional Learning Management Systems (LMS) such as Moodle provide structured platforms for sharing educational resources, assignments, and assessments; however, they often lack intelligent real-time academic assistance and personalized learning support. To address these limitations, this project presents MoodleBot, an LLM-driven Oracle Cloud chatbot designed for higher education environments, particularly for courses related to Databases and Information Systems. The proposed system integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) techniques to provide intelligent, context-aware, and personalized responses to student queries. MoodleBot interacts with students, teachers, and administrators through a user-friendly web-based interface and supports functionalities such as real-time question answering, educational content retrieval, chatbot analytics, document management, and adaptive learning assistance. The system retrieves relevant academic information from educational resources including PDFs, lecture notes, assignments, and uploaded course materials to generate accurate responses. The project also utilizes Oracle Cloud Infrastructure (OCI) services to ensure secure cloud deployment, scalable storage, database management, monitoring, and analytics support. The backend system was developed using Python and Django, while frontend components were implemented using HTML, CSS, JavaScript, and Bootstrap technologies. Database management systems such as Oracle Database, MySQL, and PostgreSQL were explored for secure storage and efficient retrieval of educational data. The implementation of MoodleBot improves student engagement, supports self-regulated learning, reduces repetitive workload for teachers, and enhances the overall digital learning experience. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/21867 | |
| dc.language.iso | en | |
| dc.publisher | NHCE | |
| dc.title | An LLM-Driven Oracle Cloud Chatbot for Higher Education | |
| dc.type | Learning Object |