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Paper Code: AJETAS-2026-8568Open AccessResearch ArticlePeer Reviewed

AI Study Buddy: Enhancing Digital Learning Through Artificial Intelligence

Kajal Tukaram Thorat
Received: May 15, 2026Accepted: June 20, 2026Published: July 2026
Published inAvrmitra Journal of Engineering, Technology and Applied Sciences
Volume & IssueVol. 4, Issue 2
DOI10.2694/ajetas.2026.2327

Abstract & Keywords

AI Study Buddy, an intelligent learning assistant designed to enhance students' learning experience through artificial intelligence. Traditional learning platforms often provide static content and limited personalization, making it difficult for students to receive instant guidance, structured study plans, and interactive support. The proposed AI Study Buddy integrates advanced Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and semantic search to deliver personalized learning assistance. The system enables students to upload PDF notes, interact with AI through text and voice, generate concise summaries, create quizzes and flashcards, answer academic questions based on uploaded materials, and recommend relevant educational resources. A vector database is used to store document embeddings, enabling accurate context-aware responses from study materials. The application is developed using a modern architecture with a React frontend, Fast API backend, and embedding-based retrieval for efficient knowledge access.

Index Keywords
Artificial IntelligenceAI Study BuddyPersonalized LearningNatural Language Processing (NLP)Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Semantic SearchVector DatabaseFast APIReactEducational Technology

Author Affiliations

Kajal Tukaram ThoratCorresponding Author · Department of Computer Science & Engineering, IIT Bombay, India

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