View Proposal
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Proposer
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Marwan Fuad
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Title
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Detection of AI-Generated Content in Student Coursework Using Machine Learning
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Goal
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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
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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
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Publicly available datasets from platforms like Kaggle
Python, TensorFlow/PyTorch, scikit-learn, NLTK/spaCy for NLP
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Background
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Url
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Difficulty Level
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Moderate
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Ethical Approval
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Full
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Number Of Students
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2
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Supervisor
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Marwan Fuad
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Keywords
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ai-generated content detection, machine learning, academic integrity, nlp, text classification, chatgpt
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Science in Artificial Intelligence
Master of Science in Data Science