An AI-Based Writing Assistant for IELTS: System Architecture and Implementation

초록

This paper presents the development of an AI-assisted system designed to support IELTS writingpreparation by integrating large language models and retrieval-augmented techniques. The system was builtusing Python, with Streamlit providing the user interface, OpenAI's API enabling natural languageprocessing capabilities, and FAISS combined with LangChain facilitating efficient semantic retrieval andconversational context handling. The tool allows learners to input IELTS writing tasks via direct text oruploaded PDF files, from which it extracts and processes text, tables, and images to generate personalizedwriting guidelines. It also enables automated grading aligned with IELTS writing criteria and offersimproved essay suggestions targeting a specified band score. Integrating modular components and AIcapabilities, the system offers a scalable framework for automated writing support in language learningcontexts. This innovation advances the expanding domain of AI in educational settings and helps illustrateAI systems' potential to improve language skills.

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