Skill Swap – A Community Platform

Abstract This paper presents the design, development, and implementation of Skill Swap, an AI-ready community platform created to promote peer-to-peer learning through skill exchange. The system allows users to share skills they possess and learn new ones by connecting with individuals who have complementary abilities. The platform supports user profiles, skill matching, messaging, and session scheduling to facilitate structured knowledge exchange and collaboration among users. The proposed system is implemented as a full-stack web application using React.js for the frontend, Node.js with Express.js for the backend, and a cloud-based database for secure data management. The architecture is designed to be AI-ready, enabling future integration of intelligent skill matchmaking, personalized learning recommendations, automated skill assessment, and smart scheduling features. This paper discusses system architecture, development methodology, module design, evaluation, limitations, and future enhancements. Key Words: Skill Exchange, Peer-to-Peer Learning, AI-Ready Platform, Web Application, Knowledge Sharing