This project uses Machine Learning techniques to classify text as either AI-generated or Human-written. The model is trained using a linear Support Vector Machine (SVM) with TF-IDF features extracted from the text. This allows the system to capture patterns in writing style and differentiate between human and AI-generated content effectively.
The classifier is built with Python's scikit-learn library and deployed with Flask for a user-friendly web interface.