Author
Listed:
- Ashna Syed
(Department of Information Technology M.S Bidve Engineering College, Latur)
- Insha Rehan Daimi
(Department of Computer Science and Engineering M.S Bidve Engineering College, Latur)
Abstract
Generative Artificial Intelligence (Gen AI) is revolutionizing the education sector by facilitating personalized self-guided learning with intelligence. In this paper, we propose an AI-based Smart Study Assistant by using Generative AI methods for supporting students in academic works. It uses artificial intelligence for subject-related questions, summarizing lengthy study materials, making notes and assignment help. It achieves this through the application of natural language processing (NLP) and large language models, which allow the system to understand user queries and generate relevant responses. Also provides concept explanation, question generation, doubt solving in real time, making learning more interactive and efficient. According to this study, Generative AI can leverage student productivity and maximize their learning curve. This proposed solution provides an example of how AI can transform education by making learning more intelligent and responsive. Future improvements might encompass voice interactivity, multilingual service, and academic database integration.
Suggested Citation
Ashna Syed & Insha Rehan Daimi, 2026.
"AI-Powered Smart Study Assistant Using Generative AI,"
International Journal of Latest Technology in Engineering, Management & Applied Science, RSIS International, vol. 15(13), pages 11-19, May.
Handle:
RePEc:bjf:ijltem:v:15:y:2026:i:13:a:2003
DOI: 10.51583/IJLTEMAS.2026.1501300003
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjf:ijltem:v:15:y:2026:i:13:a:2003. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.