Fake News Detection and Social Engineering Prevention

This project addresses the critical issue of misinformation by developing an intelligent fake news detection system that combines Large Language Models with Retrieval-Augmented Generation.

The platform performs comprehensive news verification by cross-referencing claims with reliable sources, conducting web searches for fact-checking, and using advanced LLM reasoning to classify content authenticity.

Built with a focus on transparency, the system provides detailed explanations for its classifications, helping users understand why content is flagged as potentially false or misleading.