VeriTrust: An AI-Powered Decentralized Reputation System for the Gig Economy

Trust in the gig economy lives and dies by reputation. Platforms like Upwork and Fiverr use review scores as stand-ins for credibility, yet the systems underlying those scores are opaque, siloed, and surprisingly easy to manipulate. This paper presents VeriTrust, a fully working AI-powered reputation system that pairs blockchain immutability with natural language processing to give freelancers a tamper-proof, portable reputation they genuinely own. At its core, VeriTrust runs an application-level Proof-of-Work blockchain with SHA-256 mining and RSA-2048 cryptographic signing so that every review is verifiably authentic. Two Solidity smart contracts are deployed on Polygon Amoy—one storing full data for maximum auditability, and a leaner VeriTrustLite variant that trims gas costs by roughly 80% through struct packing, custom errors, and hash-only storage. A three-step prepare/confirm write protocol ties each on-chain anchor to the matching PostgreSQL record, and reputation is keyed on RSA public keys rather than wallet addresses, so users can carry their history across chains and platforms without asking anyone’s permission. A React.js DApp with MetaMask integration, a live blockchain explorer, and a chain indexer round out the implementation. Smart contract test coverage is 100% across all statement branches.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-17
DOI
https://doi.org/10.64388/irev9i10-1716368
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

VeriTrust: An AI-Powered Decentralized Reputation System for the Gig Economy

Sarvesh Varvatkar, Jaspreet Kaur, Angad Muthyala, Muiz Zatam
Iconic Research and Engineering Journals
Blockchain Technology Applications and Security
article

VeriTrust: An AI-Powered Decentralized Reputation System for the Gig Economy

Sarvesh Varvatkar, Jaspreet Kaur, Angad Muthyala, Muiz Zatam
article en

Abstract

Trust in the gig economy lives and dies by reputation. Platforms like Upwork and Fiverr use review scores as stand-ins for credibility, yet the systems underlying those scores are opaque, siloed, and surprisingly easy to manipulate. This paper presents VeriTrust, a fully working AI-powered reputation system that pairs blockchain immutability with natural language processing to give freelancers a tamper-proof, portable reputation they genuinely own. At its core, VeriTrust runs an application-level Proof-of-Work blockchain with SHA-256 mining and RSA-2048 cryptographic signing so that every review is verifiably authentic. Two Solidity smart contracts are deployed on Polygon Amoy—one storing full data for maximum auditability, and a leaner VeriTrustLite variant that trims gas costs by roughly 80% through struct packing, custom errors, and hash-only storage. A three-step prepare/confirm write protocol ties each on-chain anchor to the matching PostgreSQL record, and reputation is keyed on RSA public keys rather than wallet addresses, so users can carry their history across chains and platforms without asking anyone’s permission. A React.js DApp with MetaMask integration, a live blockchain explorer, and a chain indexer round out the implementation. Smart contract test coverage is 100% across all statement branches.

Iconic Research and Engineering JournalsVol. 9(10)
Openalex Percentile: Top 4%
Blockchain Technology Applications and Security
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VeriTrust: An AI-Powered Decentralized Reputation System for the Gig Economy — Sarvesh Varvatkar, Jaspreet Kaur, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS