🚀 Reviu

🧠 Inspiration

Who usually gets to review a paper?
Traditionally, it's a small group of academics handpicked by journals — a process that’s slow, opaque, and often biased. Reviews can be based off of reviewers personal interests and affiliations instead of based off quality of work. Reviu asks: What if peer review were open, decentralized, and built on reputation?

💡 What It Does

Reviu is a decentralized peer-review and voting system. Submitters get feedback from qualified anonymous reviewers that are verified using zero knowledge proofs — no gatekeepers required.
Reviewers choose fields of expertise, review relevant papers anonymously, and earn reputation based on the quality of their reviews.

⚙️ How We Built It

  • React frontend interface for scholars to review and submit papers annonymously
  • Ether.js backend for submission management and voting logic
  • Solidity for smart contracts for tracking user reputation and reviews
  • Dapp frontend with MetaMask integration and review dashboard
  • DeFi-inspired logic for future token rewards via $PER

🧩 Challenges We Ran Into

  • Understanding the peer review lifecycle and how bias is introduced
  • Designing a transparent, field-matched reputation system
  • Connecting the react front-end to the Ether.js back-endpoints
  • Making the platform anonymous yet credible (zero knowledge proof) and easy to use for real researchers

🏆 Accomplishments We're Proud Of

  • It works: researchers can submit papers and receive structured, anonymous reviews
  • Early testers saw the utility and wanted to try it with real research
  • We built a full-stack decentralized prototype in just a few days

📚 What We Learned

  • Teamwork across tech and research backgrounds is powerful
  • Dapp design takes balancing UX, trust, and smart contract logic
  • A reputation-based system for peer review is both possible and needed

🔮 What's Next for Reviu

  • Run a pilot with GitHub-native researchers and Web3 academics
  • Integrate a field-weighted reputation engine
  • Expand into DeSci partnerships and build $PER tokenomics

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