AI-Driven Personal Branding System for Freelancers
Year: 2026
Type: article
Abstract: The sustained growth of platform-based freelancing has produced a digital marketplace characterised by intense competition, where the ability to articulate a coherent professional identity constitutes a decisive advantage. Constructing high-quality bios, gig descriptions, taglines, and content strategies, however, demands expertise that the majority of independent workers—particularly those entering the field—do not yet possess. This paper introduces SheCraft AI, a web-based platform that integrates transformer-based generative language models with a structured input pipeline to automate the production of personalised branding artefacts. The system accepts information about a user's skills, industry niche, and intended audience, and subsequently produces platform-optimised profile content, portfolio narratives, and actionable content strategies. A cryptographic authentication module, an iterative recommendation engine, and a React.js-driven interface complement the generation core. User trials involving 42 freelancers across multiple professional domains confirm significant reductions in content-creation effort alongside measurable improvements in profile completeness and perceived professionalism.
Language: English
Topic: Mobile and Web Applications
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7161413282
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