View Proposal

Proposer
Marwan Fuad
Title
Detection of AI-Generated Content in Student Coursework Using Machine Learning
Goal
To develop a tool or software that can identify whether a student has used AI-generated content, such as that produced by ChatGPT, in their coursework
Description
This project aims to address the increasing challenge of AI-generated content in academic settings by developing a detection system that can differentiate between human-written and AI-generated CW. The project will involve collecting a dataset of human and AI-generated text samples, training a machine learning model on these datasets, and fine-tuning the model to recognize patterns specific to AI-generated content. The outcome will be an application that instructors and institutions can use to uphold academic integrity. The project will also explore the ethical implications and limitations of such a system, ensuring it is both fair and effective
Resources
Publicly available datasets from platforms like Kaggle Python, TensorFlow/PyTorch, scikit-learn, NLTK/spaCy for NLP
Background
Url
Difficulty Level
Moderate
Ethical Approval
Full
Number Of Students
1
Supervisor
Marwan Fuad
Keywords
ai-generated content detection, machine learning, academic integrity, nlp, text classification, chatgpt
Degrees
Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Data Science
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