The problem zkHotdog 🌭📏✅ solves

📌 Measurement fraud and disputes cost billions annually
📌 Traditional measurements lack cryptographic verification
📌 No privacy-preserving way to prove measurements
💭 How do you verify real-world measurements without revealing sensitive data?

User Interaction and Data Flow

zkHotdog enables verifiable measurements with zero-knowledge proofs!
📱 Open the iOS app, measure with AR, submit for ZK proof on-chain, verify via AI Agent.
🔹 Private? Always.
🔹 Verifiable? Absolutely.
🔹 Trustless? By design.

The project architecture and development process

🏗️ Project Architecture & Development Process

🔧 Core Architecture

zkHotdog is a decentralized measurement verification system powered by zero-knowledge proofs, AR technology, blockchain attestations, and AI verification for tamper-proof, privacy-preserving measurements.

User Measurement & Verification 📏

• AR-powered measurement via iOS app using ARKit/SceneKit
• Zero-knowledge proof generation using Circom circuits
• AI-assisted verification to ensure proper point placement

On-Chain Attestation & Storage 🔗

• Verified measurements attested via zkVerify network
• Measurement proofs verified by EigenLayer operators
• NFT issuance for proof of verified measurements

Backend Processing & Proof Generation 🔄

• Rust-based server for handling measurement requests
• Groth16 proving system for efficient zero-knowledge proofs
• AI Image processing for visual verification

🚀 Development Process

• Research & Circuit Design 🔍 – Defined measurement parameters and designed ZK circuit
• iOS App Development 📱 – Built AR measurement interface with precise coordinate capturing
• ZK Circuit Implementation ⚙️ – Created Circom circuit for verifying measurement constraints
• Backend & Proof System 🛠️ – Developed Rust server for proof generation and verification
• EigenLayer Integration 🔗 – Connected to operator network for decentralized verification
• Testing & Optimization 🧪 – Ensured accuracy of AR measurements and proof generation

Product Integrations

🤖 AI Verification → OpenAI API (GPT-4o)
📏 AR Measurement → Apple ARKit & SceneKit
🔐 Zero-Knowledge Proofs → Circom & Groth16
🧮 Proof Verification → snarkjs & EigenLayer AVS
🔗 On-Chain Attestation → zkVerify network
🌐 Frontend → iOS native app & Next.js web interface
🖥️ Backend → Rust server

Key differentiators and uniqueness of the project

🌟 Key Differentiators & Uniqueness

🚀 What Makes zkHotdog Unique?

AR-Powered Zero-Knowledge Measurements 📏🔐

zkHotdog combines AR technology with zero-knowledge proofs to create verifiable measurements without revealing raw data.
Unlike conventional measuring tools, zkHotdog provides cryptographic guarantees of measurement integrity.

Decentralized Verification Network 🌐✅

Leverages EigenLayer operators for distributed verification rather than relying on a centralized authority.
Creates a tamper-proof record of measurements that can be verified by anyone.

AI-Enhanced Validation 🤖👁️

Uses GPT-4o to analyze measurement images and ensure anchor points are properly placed.
Significantly reduces user error and enhances measurement accuracy.

On-Chain Attestation with Privacy 🔗🛡️

Issues NFTs representing verified measurements while keeping the underlying data private.
Creates permanent, immutable records of verified measurements for future reference.

Trade-offs and shortcuts while building

⚖️ Trade-offs & Shortcuts While Building

⏳ Development Trade-offs & Quick Fixes

iOS-First Approach Over Cross-Platform 📱

We prioritized a high-quality iOS implementation using ARKit rather than building for multiple platforms.
Future versions will expand to Android using ARCore technology.

Simplified Circuit Design 🔄

The current ZK circuit handles basic measurement verification, but could be expanded to include more complex geometric relationships.
We optimized for proving speed over handling all possible edge cases.

EigenLayer Testing Limitations 🧪

We used a simplified operator registration for hackathon purposes, with plans to expand the staking model for production use.

🔮 Future Optimizations & Enhancements

Multi-Object Measurement ➕

Expand capabilities to verify relationships between multiple measured objects simultaneously.
Create compound proofs that attest to complex spatial relationships.

Supply Chain Verification 📦

Integrate with logistics systems to provide verified measurements for shipping and inventory.
Enable batch verification of multiple items with efficient proof aggregation.

Standardized Measurement Credentials 🏛️

Develop a standardized format for measurement credentials that can be recognized across industries.
Build an ecosystem where zkHotdog measurements are accepted as legal proof of dimension.