Skill Swap App: Optimizing Peer-to-Peer Skill Exchange

Skill development is essential for students and beginners; however, many learners face challenges such as high course fees, lack of personalized guidance, and difficulty in finding suitable learning partners. Existing learning platforms often rely on paid courses or provide one-way learning without interaction. This paper proposes Skill Swap, a peer-to-peer skill exchange platform that enables users to teach and learn skills mutually without monetary cost. The proposed system focuses on matching users based on skill compatibility, proficiency level, availability, and feedback history. Skill Swap is intended to be developed using Python for backend processing, MySQL for data storage, and web technologies for the user interface. The platform aims to reduce manual searching effort and promote collaborative learning in educational environments. This work serves as a conceptual and design-level study prior to system implementation.