AI-Based Study Planner

Abstract

This research presents the development of an AI-driven personalized study planner designed to assist students in preparing more effectively for examinations. The system analyzes syllabus content alongside past question papers to assign topic-specific weightage and generate daily study schedules tailored to each student’s availability, academic goals, and preparation timeline. Leveraging large language models (LLMs) for document comprehension and Firebase for data storage and user management, the planner intelligently automates the planning process. By minimizing cognitive load and promoting efficient time allocation, this tool enhances academic performance through structured, data informed learning strategies.