Inspiration
Nowadays fake news is spreading very fast on social media and many peoples believe wrong information without checking if it is true or not. We see many misleading headlines, edited images and false informations online everyday. Because of this problem, we got idea to build a platform which can help users detect fake news and understand the reality behind it.
This inspired us to create TruthLens AI, a smart AI based fake news detector which can analyse news content and check its credibility in real time.
What It Does
TruthLens AI allows user to paste a news headline, article text or news link and the system will analyze it instantly.
It provides:
Fake news probability score Credibility checking Bias and sentiment analysis AI explanation Trusted source comparison Short summary of article
Instead of only showing “fake” or “real”, our platform also explains why the content may look suspicious.
How We Built It
We builded the frontend using Next.js, React and Tailwind CSS for making modern and responsive UI. We also used Framer Motion for animations and smooth effects.
Backend is developed using Node.js and Express.js which handles all API requests and AI processing.
For fake news detection we used AI/NLP techniques like:
Sentiment analysis Keyword extraction Clickbait detection Source verification Confidence scoring
The AI model checks different factors and calculate a credibility score using this formula:
[ CredibilityScore = \frac{SourceTrust + ContentReliability + FactMatch}{3} ]
Challenges We Faced
One of biggest challenge was detecting fake news accurately because many fake articles looks very realistic. It was difficult to balance accuracy and speed together.
Another challenge was creating proper AI explanations because we not wanted to only show a score. We wanted users can understand why the article may be fake or misleading.
Designing modern UI in limited hackathon time was also little difficult for us.
What We Learned
From this project we learned many things like:
Full stack development API integration AI and NLP concepts Responsive UI designing Real world use of artificial intelligence
We also learned how technology can help peoples fight misinformation and spread awareness online.
Future Improvements
In future we want to add:
Deepfake image/video detection Browser extension support Multi language fake news detection Social media scanning Community reporting feature
Our goal is to make TruthLens AI more powerful and useful for peoples so they can verify news before sharing it online.
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