Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{195169,
        author = {Aryan P and Md.Moin and M.Srija Reddy and Uppu Mamatha},
        title = {Democratizing Skill Verification: A Vernacular, AI-Proctored Framework for the Informal Economy via Deep Metric Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7095-7102},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195169},
        abstract = {The disorganized sector is the backbone of de- veloping economies, but it is contained in a fatal flaw: a “Verification Void.” Millions of professional artisans—carpenters, electricians, mechanics—are technologically professional but possess unprovable qualifications that limit financial mobility. This paper introduces SkillCertify, a skill-level, mobile-first, artificially intelligent examiner platform designed to bridge this gap. The system integrates an embedding-based lightweight continuous biometric proctoring pipeline with a cryptographic credentialing engine. A new architecture is offered by us based on a FastAPI microservice backbone, a React Progressive Web Application (PWA) frontend, and polymorphic storage (MongoDB). We give a strict theoretical treatment of the transition from Triplet Loss to ArcFace: Towards a Strong Identity Verifier in free environmental conditions. Furthermore, we exhibit detailed architectural work, assessment of design trade-offs regarding mobile-optimized backbones, and multi-modal bandwidth throttling Presentation Attack Detection (PAD) strategies. Lastly, we describe a hybrid model of credentialing that involves a combination of RSA-signed QR certificates with optional Decentralized ID (DID) anchoring to guarantee tamper-proofing in the long term.},
        keywords = {Skill Certification, Biometric Proctoring, Deep Metric Learning, ArcFace, RSA Encryption, Vernacular Comput- ing, Microservices, Digital Trust.},
        month = {March},
        }