SkillSwap is a peer-to-peer student skill exchange platform designed to promote collaborative learning without involving monetary transactions. The system enables students to share their expertise and acquire new skills by exchanging knowledge in a structured and transparent manner. SkillSwap provides core functionalities such as secure user authentication, personalized dashboards, skill listing and management, skill browsing with filtering options, and a request management workflow that supports acceptance, rejection, and completion of skill exchange requests. By leveraging a lightweight web architecture, the platform ensures ease of use, scalability, and accessibility for students across diverse academic backgrounds. The proposed system addresses the limitations of traditional tutoring methods, which are often costly and inaccessible, by fostering a community-driven learning environment. Implemented using Flask for backend processing, SQLite for efficient data storage, and modern frontend technologies for responsive design, SkillSwap demonstrates how web-based platforms can enhance peer learning and knowledge sharing. The system is suitable for academic environments and can be further extended with advanced features such as intelligent skill recommendations, real-time communication, and administrative monitoring, making it adaptable for real-world deployment.
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Analyzing shared references across papers
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Prof. D.B. Mahankale
M. R. Shaikh
Ajay Ashok Chavhan
Building similarity graph...
Analyzing shared references across papers
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Mahankale et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69e1cefb5cdc762e9d857eb6 — DOI: https://doi.org/10.5281/zenodo.19592662