SkillNetAl: Smart Skill Matching and Academic Collaboration Platform
DOI:
https://doi.org/10.32628/IJSRSET261356Keywords:
Skill Matching, Collaborative Learning, Artificial Intelligence, Team Formation, Educational Technology, Machine LearningAbstract
SkillNetAI is an intelligent collaboration and skill‑matching platform designed to improve team formation and cooperative learning among students. Traditional project team formation methods often rely on random allocation or manual instructor selection, which may lead to imbalanced teams and inefficient collaboration. The proposed system addresses this limitation by using data‑driven techniques to analyze student skills, interests, and learning preferences in order to generate balanced and productive teams. SkillNetAI collects structured data from students including technical competencies, domain knowledge, collaboration preferences, and prior project experiences. Using this information, the platform generates skill profiles and applies intelligent matching algorithms to assemble teams that maximize complementary abilities while maintaining fairness and diversity. The system also provides a collaboration dashboard that enables communication, task allocation, and progress monitoring. By continuously analyzing team performance and interaction data, SkillNetAI adapts team recommendations and supports personalized learning development. The proposed system not only improves project outcomes but also promotes peer learning, knowledge sharing, and practical skill development. The architecture is designed to be scalable and can be integrated with modern learning management systems.
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