This project presents an intelligent news portal that combines fake news detection with personalized content delivery to improve reliability and user engagement. It uses machine learning models such as Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting to analyze textual features and identify fake news in real time. Built using the MERN stack, the system also includes an admin panel for content management and analytics. Additionally, it recommends news based on user behavior and preferences, creating a more relevant and user-centric experience while promoting credible information.