Fake News Detection

We developed a Fake News Detection Website that predicts whether a news article is genuine or fake using machine learning and full-stack development. The frontend (HTML, CSS, Bootstrap) provides a user-friendly interface, while the backend (Python, Flask) integrates an ML model built with TfidfVectorizer and PassiveAggressiveClassifier for accurate classification. We ensured real-time predictions with seamless frontend-backend communication. This project showcases our skills in web development, machine learning, full-stack integration, and problem-solving, tackling misinformation through technology. 🚀