Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

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AI-Powered Teaching Assistant for Multi-Grade, Low-Resource Classrooms

Authors
P. Srikanth1, *, N. Suresh Kumar1, T. Akilandeswari1, Navneet Kumar1, T. Venu Babu1, Kunal Raj1
1Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Madurai, India
*Corresponding author. Email: peyyalasrikanth0@gmail.com
Corresponding Author
P. Srikanth
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_67How to use a DOI?
Keywords
Automated content generation; learning management system; student performance tracking; educational dashboards; worksheet generation; assessment automation; Next.js; Node.js; MongoDB; TypeScript; web-based learning platform; student analytics; digital education; intelligent tutoring systems
Abstract

In this study, the system proposed by the researcher is Sahayak, an AI-based learning solution that seeks to automate the process of learning content creation and academic performance analysis of students in schools and colleges. Teacher can create class and subject, and then the in-built AI module automatically generates worksheets, questions, explanations, and learning content based on the selected topic. The generated learning content is then stored and managed by a centralized database system, allowing students to access them through a secure web interface. The system also has an evaluation module where students can conduct tests, and the results are automatically analyzed, with performance analysis done through interactive dashboards. Progress analysis enables teachers to track learning deficiencies and monitor student progress in real-time. Additionally, the system has authentication, content management, and exportable report features for academic tracking. The proposed system is developed using advanced web technologies such as TypeScript, Next.js, Node.js, MongoDB, and Tailwind CSS, with AI-powered learning content generation to improve teaching efficiency and student performance.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_67How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - P. Srikanth
AU  - N. Suresh Kumar
AU  - T. Akilandeswari
AU  - Navneet Kumar
AU  - T. Venu Babu
AU  - Kunal Raj
PY  - 2026
DA  - 2026/06/16
TI  - AI-Powered Teaching Assistant for Multi-Grade, Low-Resource Classrooms
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 672
EP  - 686
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_67
DO  - 10.2991/978-94-6239-693-7_67
ID  - Srikanth2026
ER  -