About

In today’s digital age, the spread of misinformation is a critical challenge. Fake News Detection is a machine learning-based web application designed to combat this issue by identifying and flagging potentially misleading or fabricated news articles. The system utilizes Natural Language Processing (NLP) techniques to analyze textual content and classify it as either FAKE or REAL.

Key Features

• Prediction of news authenticity using a trained LinearSVC model.
• An interactive web interface for seamless user interaction.

This project aims to empower individuals, organizations, and platforms in their efforts to promote reliable information and counteract the dissemination of fake news.