Auto-Doc: Document Verification using Blockchain and AI

Table of Contents

1. Introduction
2. Features
3. Technologies Used
4. Architecture
5. Installation
6. Usage
7. License
8. Acknowledgements

---

Introduction

The Auto-Doc is a decentralized solution designed to automate and secure the process of document verification using blockchain technology and artificial intelligence (AI). This platform addresses the inefficiencies and vulnerabilities of traditional manual verification processes by providing a tamper-proof, transparent, and user-friendly system for issuing, verifying, and accessing official documents.

Key Problems Solved

• Time-Consuming Manual Verification: Automates the verification process, reducing time and effort.
• Fraud and Tampering: Ensures document integrity using blockchain's immutability.
• Lack of Interoperability: Uses W3C Verifiable Credentials for global compatibility.
• Privacy Concerns: Implements Zero-Knowledge Proofs (ZKPs) for selective disclosure of document attributes.

---

Features

• Document Issuance: Issuing authorities (e.g., universities, employers) can create and issue digital documents.
• Document Verification: Verifying authorities (e.g., banks, government offices) can validate documents using AI and blockchain.
• User Portal: Individuals can view and share their documents securely.
• AI-Powered Fraud Detection: Detects forged documents or anomalies in real-time.
• Zero-Knowledge Proofs (ZKPs): Allows users to prove specific attributes (e.g., age, degree) without revealing the entire document.
• Cross-Chain Compatibility: Enables verification of credentials across multiple blockchains using Avalanche's Interchain Messaging.
• IPFS Storage: Stores documents securely on the InterPlanetary File System (IPFS).

---

Technologies Used

Frontend

• React.js: For building the user interface.
• TailwindCSS: For styling the components.
• Web3.js: For interacting with the Avalanche blockchain.

Backend

• Node.js: For building the backend server.
• Express.js: For creating RESTful APIs.
• Python: For AI-powered fraud detection (TensorFlow/OpenCV).

Blockchain

• Avalanche Fuji Testnet: For deploying smart contracts.
• AvalancheJS: For interacting with the Avalanche blockchain.
• Hardhat: For smart contract development and deployment.
• IPFS: For decentralized document storage.

Zero-Knowledge Proofs (ZKPs)

• Circom: For designing ZKP circuits.
• SnarkJS: For generating and verifying proofs.

---

Architecture

The platform consists of three main components:

1. Frontend: A React-based web portal for issuing authorities, verifying authorities, and individuals.
2. Backend: A Node.js server with RESTful APIs for document issuance, verification, and ZKP generation.
3. Blockchain: Smart contracts deployed on Avalanche Fuji Testnet for storing document hashes and verifying credentials.

---

Installation

Prerequisites

• Node.js (v16 or higher)
• Python (v3.8 or higher)
• MetaMask or Avalanche Wallet (for blockchain interaction)
• Hardhat (for smart contract deployment)

Steps

1. Clone the repository:

   git clone https://github.com/solve-ease/Auto-Doc-Manager.git
   cd Auto-Doc-Manager

License

This project is licensed under the MIT LICENSE . See the LICENSE file for details.

Acknowledgements

• Avalanche: For providing the blockchain infrastructure.

• IPFS: For decentralized document storage.

• Circom and SnarkJS: For zero-knowledge proof integration.

• TensorFlow/OpenCV: For AI-powered fraud detection.