AI-Based Study Planner

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.

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Institutions

Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-07-24
DOI
https://doi.org/10.47392/irjaeh.2025.0474
Citations
1
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
2.48
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article

AI-Based Study Planner

Mrs.R.M. Mandhare, Mr. Prathmesh Chavan, Miss.Saniya Nikam, Mr. Rishikesh Katakar et al.
1 citations
International Research Journal on Advanced Engineering Hub (IRJAEH)
Intelligent Tutoring Systems and Adaptive Learning
2.48
article

AI-Based Study Planner

Mrs.R.M. Mandhare, Mr. Prathmesh Chavan, Miss.Saniya Nikam, Mr. Rishikesh Katakar, Miss.Divya Chikodi
article en
1 citations

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.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(07)
Yashoda Hospital (IN)
Openalex Percentile: Top 9%
Intelligent Tutoring Systems and Adaptive Learning
2.48
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AI-Based Study Planner — Mrs.R.M. Mandhare, Mr. Prathmesh Chavan, et al. · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS