PROJECT NAME
PanAI — Protocol for AI Notarization
DESCRIPTION OF THE PROJECT
PanAI is an open standard for AI provenance with public verification: each message is normalized, hashed, placed in a per-session Merkle tree, and the root is anchored on Base (Sepolia) via events only. With Zama FHE, messages are also vectorized and encrypted; an off-chain FHE worker compares encrypted summaries and returns a confidence score—everything stays encrypted; decryption happens client-side.
TELEGRAM USER NAME
tg: cripsbo
REPOSITORY WITH THE PROJECT'S CODE :
https://github.com/fcarlucc/PanAI
VIDEO DEMO (3 min max) : https://www.loom.com/share/e03d1a6d5f664154b38151178a525de2?sid=f601652f-189b-4d60-b5e5-b3a45dec0fba
Website URLs of your deployed application Web App (Vercel): Base Miniapp (Bounty): Sample Tx (Explorer): Evidence (IPFS/Arweave):
https://pan-ai-p8p9.vercel.app/chat
The contract address(es) you deployed and the chain(s) where you deployed it.
Chain: Base Mainnet
PANAI (ERC-20, cap 1B):0x6b3F666806Fb0F79D23E6668e90D5DE2675E9cCc
PanSoul SBT (ERC-721, soulbound): 0xe3aCCDA4B18D797feDD687b884B3d2b95580FFF2
Rewards Distributor: 0x879E7BB5a35d9C702F11B81443FD13233bE89809
Chain: Base Sepolia
Bring data on chain, and does hash verification: 0x3A59756F5272124f46d01779Afa21F0851fec408
Bounties (how we integrated sponsors’ tech)
AI <> Web3 Track
Integration: Multi-model chat (OpenRouter + backup provider), deterministic normalization/hashing, per-session Merkle, event-only anchoring on Base, public verification (UI + Verify CLI), plus confidential similarity via FHE for “is this what I said?” checks that survive screenshots. Demo path: chat → finalize → on-chain event → verify (CLI/UI) → FHE compare → score → optional verdict publish.
Privacy Track — Zama FHE (Fully Homomorphic Encryption)
Integration: Client computes embeddings/summaries → FHE encrypt (project public key). We store only commitments/IDs and manifests; no plaintext server-side. A Zama FHE worker watches on-chain events, fetches ciphertexts (via CIDs/IPFS or S3), and computes similarity under encryption; returns an encrypted score. User decrypts locally and can optionally publish a threshold verdict (“match ≥ τ”) as signed metadata. What judges see: trigger FHE compare → “encrypted compute” log → receive score_enc → decrypt in browser → optionally publish signed verdict → miniapp displays the verdict on the session. Why it’s strong: privacy-by-design without TEE; practical anti-spoof/duplicate comparison powered by Zama.
1inch — Utilize 1inch APIs (beyond Extension login)
Integration:
ENS
Integration: ENS reverse for author/owner; handles appear in certificates and the Base miniapp (profiles/verifications). Proof: certificate with resolved ENS + miniapp UI showing owner → ENS.
Chainbound (creative FHE dApp)
Integration: PanSoul SBT reputation increases after finalize; optional publication of the FHE verdict (match/non-match) as signed metadata → a new social primitive: proof-of-consistency across content versions. Proof: profile with trustScore levels and a history of signed verdicts.
Notes for Judges (security, privacy, and flow)
Security & Privacy
Core provenance (protocol-level)
FHE pipeline (Zama)
Base — Social Miniapp (not deployed)
Integration: A Base miniapp shows user profiles with a Trust Badge (PanSoul SBT), the history of RootSigned events, and a “Verify with PanAI” action. It listens to RootSigned and resolves ENS names to display proofs and session status. What judges see: finalize a session → RootSigned on Base Sepolia → miniapp profile updates (latest root, tx link, proof available) → tap Verify to open verification (UI/CLI). Why it matters: a verifiable social primitive (badge + leaderboard) with minimal on-chain data (roots only) and production-ready UX.