MRI
MRI India Journals Vol. 15 No. 1 (2026)

Result Paper on Acadlinker - Skill-Based Student Network with a Touch of AI

Authors

  • V. S. Nalawade Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Dist-Pune, India Maharashtra, India.
  • Swamini Bhandare Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Dist-Pune, India Maharashtra, India.
  • Sumit Bhole Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Dist-Pune, India Maharashtra, India.
  • Vaishnavi Bhongale Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Dist-Pune, India Maharashtra, India.
  • Mayur Ghayal Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Dist-Pune, India Maharashtra, India.

Keywords:

Artificial Intelligence Student Networking Skill-Based Matching Personalized Recommendations Collaborative Learning Career Guidance Educational Technology

Abstract

AcadLinker is an AI-powered student networking platform that connects students based on their skills, interests, and goals. It helps bridge the gap between academic learning and practical application by enabling users to create skill-based profiles and collaborate on real-world projects. Using AI, the platform provides personalized recommendations for peers, projects, and learning paths, improving engagement and collaboration. It also includes tools for communication, project management, skill validation, and performance tracking. Additionally, AcadLinker offers career guidance by aligning student skills with industry needs, helping them become more job-ready and competitive.

 

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Published

2026-06-05

How to Cite

Nalawade, V. S., Bhandare, S., Bhole, S., Bhongale, V., & Ghayal, M. (2026). Result Paper on Acadlinker - Skill-Based Student Network with a Touch of AI. International Journal of Electrical, Electronics and Computer Systems, 15(1), 27–32. Retrieved from https://journals.mriindia.com/index.php/ijeecs/article/view/3396

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