A cryptocurrency that requires a real-world action (photo & puzzle solution) as a proof-of-humanity to validate transactions. Unlike traditional cryptocurrencies that rely on computational proof-of-work or stake-based consensus, this system enforces a human-only transaction limit and rewards both sender and receiver for successfully verifying transactions.
1. Key Features
• Human-Verified Transactions → Transactions are only confirmed if both sender and receiver submit a real-world proof (photo + puzzle).
• No Automated Trading → No bots, no algorithmic trading, no high-frequency trading (HFT).
• Proof-of-Humanity (PoH) → The verification process ensures only humans can transact.
• Human Validators (Payment Processors) → Payments must be manually reviewed by a randomly assigned human processor to finalize the transaction.
• Built-in Profit Mechanism → Every validated transaction generates a small profit split between sender and receiver.
2. Implementation Strategy
A. Blockchain Design
• Consensus Mechanism: Hybrid between Proof of Humanity (PoH) and Proof of Work (PoW)
• Transaction Verification: Instead of mining, transactions require:
1. Sender submits a transaction request with a proof-of-humanity challenge.
2. Receiver confirms and submits their proof-of-humanity.
3. Randomly assigned validator (another human in the network) approves the transaction.
4. Transaction is recorded on-chain only if all 3 steps are successful.
B. Proof-of-Humanity Challenge
To validate a transaction, both sender and receiver must:
• Upload a real-time photo (facial verification, hand gesture, or unique timestamp).
• Solve a puzzle or challenge (simple CAPTCHA-like problem to prevent deepfake automation).
• The validator checks and approves or rejects based on authenticity.
C. Payment Processor Role
• A third-party validator (randomly assigned human) reviews the transaction request.
• If approved, the transaction is processed, and they receive a small % reward.
• If they reject falsely, they lose reputation points (prevents abuse).
D. Profit Mechanism
• Every verified transaction generates a micro-profit (via small inflationary minting or transaction fee redistribution).
• The profit is split between sender and receiver.
• Validators get an additional fee for their work.
3. Challenges & Solutions
|
Challenge |
Potential Solution |
|---|---|
|
Deepfake or bot attempts |
Require real-time video/photo with timestamp & dynamic challenge (hand sign, object in image, etc.) |
|
Validator corruption |
Random assignment + reputation score for validators |
|
Scalability |
Use layer 2 solutions or sidechains for faster processing |
|
User experience |
Create intuitive mobile app for easy proof submissions |
|
Privacy concerns |
Use zero-knowledge proofs (ZKP) to verify without exposing identity |
4. Potential Applications
• Remittances → Ensures real people receive payments.
• Web3 Payments → Captcha-like verification for each transaction.
• Social Crypto → Could be used in social finance (SoFi) apps for human-centered payments.
• Fraud Prevention → Eliminates bot-based financial scams.
Next Steps
• Develop a whitepaper outlining the full protocol.
• Prototype a smart contract for Proof-of-Humanity transactions.
• Implement a basic MVP on a testnet.