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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42796
Volume:
9 |
3 |
Mar 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 focuses on creating an AI tutor that aids an intern’s learning in both front- end and back-end development. Within the system, several modules have been integrated to provide personalized learning paths, adaptive work assignments, and immediate task feedback. Each component is enforced by proprietary, in- house developed, and trained, machine learning models that enable autonomy over task suggestions and mistake spotting. The tutor uses a user-friendly dashboard for managing user profiles, a task recommendation system, a deep learning-enabled code editor, and an AI chatbot that facilitates client support 24/7. A pilot study on 20 interns showed a 25% increase in task fulfillment and a 30% decline in time spent on debugging, thus confirming self-trained models’ efficiency in transforming the learning process.
KEYWORDS
Publication Date
3/24/2025
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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