Authors: Adhithi Shetty, Gayatri Shewale, Ashutosh Kale
Abstract: In the contemporary landscape of digital education, learning ecosystems are predominantly confined to unidirectional models, wherein knowledge dissemination occurs without foster-ing authentic collaboration. Such paradigms, though effective in imparting theoretical foun-dations, are inherently inadequate in cultivating experiential learning, practical application, and interdisciplinary synergy. SkillNetAI emerges as a transformative paradigm, conceptu-alized as a peer-to-peer skill exchange and collaborative platform that redefines the dynam-ics of learning and creation. By enabling individuals to articulate both their proficiencies and aspirational competencies, the system facilitates reciprocal partnerships grounded in complementary skill sets. Leveraging an intelligent recommendation mechanism, SkillNetAI identifies optimal collaborators by evaluating multidimensional parameters such as skill congruence, exchange compatibility, availability, and credibility. Unlike traditional peda-gogical platforms, this framework transcends passive consumption by promoting co-creation, wherein learners collectively architect real-world projects that simultaneously en-hance practical expertise and expand professional portfolios. Beyond skill acquisition, SkillNetAI fosters a community-driven ecosystem anchored in trust, feedback, and continu-ous growth. In doing so, it not only democratizes access to learning but also reimagines education as a participatory, symbiotic process that seamlessly integrates knowledge ex-change with applied innovationists future research directions for building adaptive and multimodal transportation systems.
DOI: http://doi.org/10.5281/zenodo.20766745
