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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47778

Arolang: A Next-Generation Language Learning Application

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47778

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47778

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.

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Authors

PSAB

Prof. S. A. Bagul1

IB

Isha Bhelsekar2

MB

Maithili Bompilwar3

GC

Gayatri Choudhary4

HV

Heti Velani5

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Abstract

The goal of this project is to create an augmented reality (AR) language-learning application that allows users to interact with their environment while learning a new language. The absence of real world context in textbooks and mobile apps, among other traditional language-learning tools, may interfere and divert from the learning process. The app uses augmented reality (AR) technology to improve language acquisition by identifying objects in the user’s surroundings and displaying their names in the target language. Three primary components are integrated into the system: augmented reality (AR) for visual labelling, object recognition for real-world object identification, and an API for real-time translation fetching. Users can swiftly learn the names, pronunciations, and sample sentences of items by pointing the camera at them. This practical, interactive method makes learning more engaging, improves vocabulary retention, and promotes constant practice. To help with language learning even further, the app will include features like progress monitoring and pronunciation assistance. When AR is used in this way, language learning takes on a fresh, interesting, and useful dimension that benefits learners of all skill levels and helps them expand their vocabulary in a natural way.

KEYWORDS

AR Language Learning Interactive Object Recognition Translation API Real-Time Visual Labeling Vocabulary Pronunciation Progress Monitoring Engaging Practical Skill Levels

Cite This Article

Prof. S. A. Bagul1, Isha Bhelsekar2, Maithili Bompilwar3, Gayatri Choudhary4, Heti Velani5, "Arolang: A Next-Generation Language Learning Application," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47778

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Publication Date

5/14/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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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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