Detecting AI Generated Text Based on NLP and Machine Learning Approaches

Understand

Recent advances in natural language processing (NLP) may enable artificial intelligence (AI) models to generate writing that is identical to human written form in the future.

• This might have profound ethical, legal, and social repercussions.
• This study aims to address this problem by offering an accurate AI detector model that can differentiate between electronically produced text and human-written text.
• Our approach includes machine learning methods such as XGB Classifier, SVM, BERT architecture deep learning models.