Virtual Booth

In today’s digital age, the Fake News Detection browser extension is an innovative tool designed to address the growing challenge of misinformation on the internet. This extension leverages Natural Language Processing (NLP) and Machine Learning (ML) to analyse and classify online content in real-time, providing users with immediate feedback on its authenticity. By integrating advanced algorithms and linguistic analysis, the system detects patterns and features indicative of fake news while maintaining high accuracy and efficiency. Developed using the Rapid Application Development (RAD) methodology, the project prioritizes user-centric design and iterative improvements to ensure functionality and usability. The extension’s seamless integration into web browsers enables users to identify misinformation effortlessly, empowering them to make informed decisions about the content they consume. In today’s fight against the spread of fake news, this project offers a practical and scalable solution to enhance online information credibility and promote digital literacy.