Fake News Detection System Developed a Machine Learning–based Fake News Detection system that classifies news articles as real or fake using Natural Language Processing (NLP). The model preprocesses text data, extracts features using TF-IDF, and applies Logistic Regression for classification. The system achieved high accuracy in detecting misinformation and can be used for media verification and content moderation platforms. Tools & Technologies: Python, NLP, TF-IDF, Scikit-learn, Pandas, NumPy