Fake News & Plagiarism Detection System
NLP and data analytics project that developed an NLP-based content validation system for fake news and plagiarism detection. Built a preprocessing pipeline for textual datasets from PDFs and images, conducted exploratory data analysis and feature engineering, evaluated classification performance using precision, recall, F1-score, and confusion matrix, and integrated the analytical backend with a frontend through API-based workflows.