TimeSwap: A Peer-to-Peer Intelligent Skill-Barter Platform for Collaborative Student Learning

This paper presents TimeSwap, a peer-to-peer skill barter platform designed to enable non-monetary collaborative learning among students within academic institutions. TimeSwap facilitates the exchange of skills—such as programming, design, content writing, or subject tutoring—through a structured and authenticated digital ecosystem. The system integrates Firebase Authentication, a category-based skill listing system, an intelligent search and filter engine, and real-time communication features to ensure efficient and secure skill exchanges. Built using Next.js, TailwindCSS, Node.js/Django backend APIs, and Firebase/PostgreSQL databases, TimeSwap demonstrates strong performance in usability, scalability, and real-time interaction. Experimental evaluation shows improved accessibility of learning resources, increased peer engagement, and enhanced academic collaboration. The platform offers a sustainable alternative to traditional fee-based learning systems by promoting knowledgesharing without monetary transactions.