NAIC 2025 - Noders AI Challenge 2025

1. Problem Overview The objective of this project is to develop an Automated Essay Scoring (AES) system for IELTS essays using advanced Natural Language Processing (NLP) and Deep Learning techniques. This system aims to help learners quickly and objectively assess their writing proficiency. 2. Training Data The dataset consists of real IELTS writing test responses, with the following main structure: - Prompt: The topic or question that candidates are required to address. - Image Description: A detailed description of the chart or image in Writing Task 1 (currently not used in the model but available in the dataset). - Essay: The written response produced by the candidate. - Overall Score (Label): The final band score assigned by human examiners, ranging from 1.0 to 9.0. 3. Problem Requirements Input: An essay text along with its corresponding prompt; an image description may also be included. Output: A real-valued number representing the predicted score of the essay. 4. Evaluation Metrics The model’s performance is evaluated based on the alignment between machine-generated scores and human-assigned scores: MAE (Mean Absolute Error): The average absolute difference between predicted and actual scores. This is the sole metric used for evaluation, indicating how much the model’s score deviates from that of human examiners on average.