Abstract: The proliferation of Artificial Intelligence (AI) in education presents immense opportunities, yet it risks widening the digital divide, particularly for students in rural areas or those with limited technical exposure. Many students find it challenging to effectively leverage complex AI tools or navigate vast online resources, especially under the pressure of last-minute exam preparation. The present study introduces "Last Leap," an integrated web-based AI study assistant designed to democratize access to AI-powered learning aids. Last Leap provides a user-friendly interface for students to instantly generate comprehensive notes, concise summaries, relevant video recommendations, and practice with interactive quizzes and flashcards directly from a user-inputted topic. Furthermore, a context-aware AI chatbot offers immediate clarification on the generated material, and all generated content can be saved to personalized accounts and exported as formatted PDFs for offline study. The platform aims to simplify AI interaction, reduce information overload, and enhance study efficiency, making advanced learning tools more accessible and impactful for a broader student population. Preliminary findings suggest a significant reduction in time spent on note generation and an increase in student engagement with targeted learning materials.

Keywords: Artificial Intelligence in Education, Digital Divide, E-Learning, Study Assistant, Note Generation, Automated Quizzing, User Experience.


Downloads: PDF | DOI: 10.17148/IJARCCE.2025.14737

How to Cite:

[1] Swathy Denesh, Vaibhav MS, Misbah Anjum G, "LastLeap: An AI-Powered Platform to Bridge the Digital Study Divide for Enhanced Learning," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14737

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