International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
GigFlow: An AI Skill Auditing and Freelance Trust FrameWork
| Author(s) | Smt. KS Sukrutha, Ms. Ankitha S |
|---|---|
| Country | India |
| Abstract | The rise of Generative Artificial Intelligence (GenAI) has changed digital workflows significantly. It has also made it harder to tell the difference between real human skills and AI-generated content. GigFlow addresses this issue with a platform for freelancing and startup advice that is focused on AI, specifically designed for the Indian digital economy. Unlike traditional gig platforms, GigFlow has a multi-step vetting process. This process evaluates freelancers’ skills in analyzing, debugging, and improving AI-generated content. This ensures a true validation of skills that goes beyond basic abilities. A comparison with leading platforms like Toptal and Arc.dev highlights GigFlow’s unique focus on real skill assessment and support for startups. In addition to freelance services, the platform offers a 24/7 Startup Guidance and Business Consultant Module. This module provides expert help in areas such as business strategy, legal compliance, market research, and funding preparation. By using AI-driven verification, clear project management, and entrepreneurial mentorship in one system, GigFlow builds a foundation of trust, quality, and innovation in the AI-powered gig economy. This approach sets a new standard for reliability and authenticity in AI-supported freelancing, benefiting India’s growing professionals and innovators. |
| Keywords | Generative Artificial Intelligence, AI Expertise Assessment, AI-Proficient Freelancing, Prompt Design, Algorithmic Talent Matching, Enhanced Workforce Support. |
| Field | Computer Applications |
| Published In | Volume 8, Issue 3, May-June 2026 |
| Published On | 2026-05-26 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i03.79524 |
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E-ISSN 2582-2160
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