zKhorus

zKhorus is a DAO that uses zero-knowledge proofs to ensure voter anonymity and natural language processing (NLP) for sentiment analysis to allow users to vote on proposals even if they cannot participate directly. This ensures 100% privacy and 100% participation in the DAO.

Contract Addresses

• 0x1CD125512a423d031DE105A88b4815f035E77375

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How it works

The system is broken down into the following steps:

1. Authentication Module

• This module creates a secret key and generates a confirmation key.
• The secret key is used to generate the confirmation key.
• The confirmation key is used to generate the confirmation key.

2. Secret Key Generation

• This module combines various factors, including user identity and proposal details, to generate a secret key.

3. Generation Key

• This module uses the secret key to generate a nullifier and a trapdoor.
• The nullifier is used to prove that the user cast a vote without revealing their identity.
• The trapdoor is used to recover the user's vote in case of disputes.

4. Semaphore (Nullifier & Trapdoor)

• The nullifier and trapdoor are sent to the Semaphore module.
• The Semaphore module: Checks if the nullifier has already been used (preventing double voting) and Stores the nullifier and trapdoor.

5. PostgreSQL Database

This database stores the following information:

• Nullifier
• Encrypted vote

6. Generate Full Proof

• If the user cannot vote directly, this module generates a full zk-proof that proves the user's eligibility to vote and their vote choice based on the sentiment analysis.

7. Semaphore (Vote Casting)

• The zk-proof and encrypted vote are sent to the Semaphore module. The Semaphore module:
• Verifies the zk-proof using the smart contract.
• If valid, decrements the user's voting allowance (preventing exceeding vote limit).
• Stores the verified vote in the Voted Casted Database.

8. Contract (to verify proof)

• This smart contract verifies the zk-proof generated earlier.

9. Voted Casted Database

• This database stores the verified votes.

10. Identity Commitment

• This module commits the user's identity to a smart contract using a zk-SNARK.
• This allows the system to verify that the user is eligible to vote without revealing their identity.

11. Vader Analyzer

• This module analyzes the sentiment of the user's input using a sentiment analysis tool.
• The sentiment analysis tool is based on a machine learning model, such as a random forest model.

12. Random Forest Model

• This module is used to analyze the user's sentiment from past behavior and proposal details.
• The output of the model is used to determine the user's vote choice.

13. Fast API

• This API is used to interact with the system and cast votes.