Safe Surf

Safe Surf

Unmasking Truth: Harnessing NLP for Real-time Fake News Detection

Safe Surf

Safe Surf

Unmasking Truth: Harnessing NLP for Real-time Fake News Detection

The problem Safe Surf solves

Users can leverage the system for:

Swift assessment of news article authenticity with confidence scores.
Augmenting media literacy by discerning between genuine and fake news.
Safeguarding against misinformation in a swiftly evolving digital landscape.
Real-time evaluation of website safety to protect users from malicious content.

How it makes tasks easier/safer:

Empowers users with a rapid and reliable tool for evaluating both news credibility and website safety.
Features an intuitive interface for seamless interaction, ensuring accessibility for all users.
Contributes to a safer online environment by countering the proliferation of fake news and identifying malicious websites.

Challenges we ran into

Encountered challenges related to biases and model interpretability. Overcame by implementing continuous monitoring, refining training data, and enhancing model interpretability. Simultaneously, we addressed challenges in assessing website safety by fine-tuning the model to recognize and flag potential threats.

Discussion