Ivy Gu ¹ and Rodrigo Onate ² , ¹ USA, ² California State University, USA

Students increasingly struggle to engage effectively with study materials, with only 34% reporting active learning engagement and 65% experiencing academic anxiety. AIvy is an AI-powered web application that addresses this dual challenge by transforming uploaded study materials into personalized, interactive learning experiences while tracking student wellness. The system leverages OpenAIs GPT-4o model to extract text from diverse document formats using vision capabilities, analyze content to generate targeted summaries and five-question quizzes aligned with user-specified learning objectives, and recommend educational YouTube videos [9]. A parallel wellness journaling system tracks daily mood, study preferences, and focus patterns, generating personalized study recommendations. Built on a serverless architecture with Vercel Python functions and Firebase for authentication and data persistence, AIvy ensures API key security while maintaining responsive performance [10]. Experimental evaluation demonstrated 88.2% mean quiz quality and 88.6% text extraction accuracy across document types, confirming the system's viability as a comprehensive educational companion.

Artificial Intelligence, Large Language Models, Personalized Learning, Quiz Generation, Student Wellness