Hobby to Hustle: An AI-Driven Centralized Platform for Creative Education and Skill Monetization

Abstract

In the rapidly evolving gig economy, creative skills have emerged as viable sources of income and personal development. However, the current ecosystem for hobby-based learning and teaching remains fragmented, lacking a unified platform that connects learners, tutors, and institutions efficiently. This paper proposes Hobby to Hustle, an AI-driven centralized platform that integrates learning, teaching, and event discovery into a single ecosystem. The system incorporates machine learning–based recommendation algorithms, secure user management, and scalable architecture to enhance personalization and usability. Experimental analysis and system design evaluation suggest that the proposed platform can significantly improve accessibility to creative education, enhance user engagement, and enable efficient skill monetization.