International Journal of Science, Engineering and TechnologyAuthors: Rudra Patel, Jay Deshmukh, Kirpalsinh Gohil, Rohan Patel, Dr. Jaimeel Shah
Abstract: Traditional learning methods are often seen as inefficient and isolating, especially for stu- dents dealing with large amounts of digital information. The one-size-fits-all approach to education fails to meet individual student needs, leading to reduced engagement and knowledge retention. This study introduces StudySync, an intelligent and AI-powered platform designed to bridge these gaps by creating a personalized and collaborative learn- ing environment. By examining prior research on AI in education, collaborative tools and Natural Lan- guage Processing (NLP), this research evaluates how StudySync can optimize study sched- ules, improve understanding of complex materials and boost collaborative learning. Using a system modeling approach that includes UML diagrams and layered architecture, the study outlines a robust framework for the platform. Findings suggest that features like an “AI Buddy” for real-time explanations can greatly enhance learning efficiency and user satisfaction. However, challenges such as ensuring algorithm accuracy and promoting user adoption need to be addressed. This research contributes to the evolving field of educational technology by providing a blueprint for a next-generation, AI-enhanced learning environment.
DOI: https://doi.org/10.5281/zenodo.17707431
