AI - Powered Online Notes Sharing System: A Framework for Collaborative Learning
Authors:
krishna Kumar (B. M. Institute of Engineering and Technology)
Sumit Kumar (B. M. Institute of Engineering and Technology)
Sonika Vasesi (B. M. Institute of Engineering and Technology)
Gurminder Kaur (B. M. Institute of Engineering and Technology)
Rahul Kumar (B. M. Institute of Engineering and Technology)
Abstract

AbstractThe "AI power online note sharing system," a web-based platform that facilitates safe and structured academic note exchange between students, contributors, and administrators, is designed and developed in this research study. The three main components of the systemstudent, contributor, and admineach include features specifically designed to guarantee user administration, note uploading, and controlled content access. Notes are divided into "general" (free) and "premium" (paid) categories, giving students a variety of access choices. An integrated AI chat board improves usability and assistance by guiding users through necessary procedures. For dependable performance, the architecture makes use of PHP, Laravel, jQuery, AJAX, Bootstrap, HTML, CSS, MySQL, JavaScript, and React.js. This project offers a possible model for scalable academic platforms while addressing the demand for automated, safe, and user-friendly distribution of educational resources.

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Published in: NCAIDT 2025 Proceedings
DOI: 10.63169/NCAIDT2025.p3
Paper ID: NCAIDT2025-0458