This project implements a fake news detection system using Word2Vec and NLP with Python. It leverages machine learning techniques to analyze text data and distinguish between genuine and fake news articles. The system is deployed using Flask for web interaction and includes an Android component for mobile access. Python is used for data preprocessing, model training, and evaluation. Flask enables web-based access to the system, while the Android app allows users to utilize it on their mobile devices. The project aims to combat the spread of fake news by providing a comprehensive and accessible solution.