Deep Learning Model for Personality Profiling Using Fingerprint Biometrics
1 Ms. Farhina S. Sayyad; 2 Mr. Ramdas P. Jare; 3 Suvarna Sonone; 4 Mr Hiraman Jadhav; 5 Mrunali PatilSkillSwap is a collaborative peer-to-peer learning platform designed to help students both acquire and share skills without the use of monetary exchange. Operating on a time-banking principle, the platform enables individuals to contribute their time and knowledge in areas such as programming, graphic design, writing, and public speaking. This model not only supports continuous skill enhancement but also encourages teamwork, active community involvement, and reciprocal learning among students. This paper presents an in-depth analysis of the SkillSwap system, detailing its underlying motivation, architectural framework, and implementation methodology. The proposed system integrates essential components including secure authentication mechanisms, intelligent skill-matching processes, real-time communication through WebRTC, and a feedback-based reputation system to promote safe and trustworthy peer interactions. Additionally, the platform’s design prioritizes scalability, ease of use, and strong data protection measures to effectively support a growing academic network. Through this project, SkillSwap aspires to build an inclusive and sustainable platform for knowledge sharing within educational environments. In the long term, it aims to improve student employability, nurture lifelong learning habits, and create lasting peer connections that extend beyond the traditional boundaries of the classroom.