Inspiration
Misinformation spreads rapidly across the internet, influencing public opinion and causing real-world harm. Traditional fact-checking is slow, centralized, and often lacks transparency. We want to build a solution that uses AI to detect fake news quickly and blockchain to make the verification process transparent, tamper-proof, and community-driven.
What it will do
The AI Decentralized News Verifier will use machine learning models to analyze articles for credibility indicators, cross-check facts against trusted data sources, and store verification records on a blockchain. This will ensure that once a news item is verified, its authenticity proof is permanently available and cannot be altered.
How to build it
By developing an NLP-based AI model to assess the credibility of articles. The blockchain layer, built on Ethereum, will store hash values and verification status. The front-end will allow users to submit articles, view credibility scores, and see verification history. Smart contracts will manage records and community governance.
Anticipated challenges
Training the AI to detect nuanced misinformation without bias.
Optimizing blockchain transactions to reduce gas fees.
Seamlessly integrating AI outputs with the blockchain layer.
Expected outcomes
A working prototype that bridges AI fact-checking with blockchain transparency.
A user-friendly interface that makes credibility checks accessible to everyone.
A governance mechanism for community fact-check validation.
What we expect to learn
How to fine-tune NLP models for misinformation detection.
How to deploy and integrate Ethereum smart contracts.
The importance of user trust and transparency in news verification.
What's next after the hackathon
Improve AI accuracy with larger datasets.
Introduce reputation-based scoring for community validators.
Expand support for multiple languages and news formats.
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