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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55144
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper presents the design and implementation of an AI-powered student scheduling web application that combines a lightweight exam planner with an integrated Q/A chat assistant. The project demonstrates how simple client-side heuristics and a small rule-based chatbot can be used to provide students with personalized study schedules and on-demand study assistance. We describe the system architecture, implementation details using HTML/CSS/JavaScript and local storage for user state, evaluate the functionality with example scenarios, discuss limitations, and outline how the system can be extended by integrating a modern large language model (e.g., Claude Haiku 4.5) to improve suggestions and natural-language understanding.
KEYWORDS
Publication Date
12/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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