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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58172
Volume:
10 |
3 |
Mar 2026
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.
The rapid growth of online language learning re- sources has created challenges for learners in achieving effective communication skills due to limited personalization and lack of real-time interaction. Traditional learning platforms often rely on static lessons and rule-based exercises, which fail to pro- vide conversational practice and contextual understanding. This paper presents PolyLingua, an AI-powered language learning platform designed to provide intelligent conversational tutoring and real-time multilingual translation. The system integrates large language models to generate context-aware responses, grammar corrections, and personalized feedback. PolyLingua is implemented as a web-based application using React for the frontend and Django REST Framework for backend services. DeepSeek AI is employed as the primary language model with a fallback translation mechanism to ensure reliability. Exper- imental analysis demonstrates improved user engagement, low response latency, and accurate translations. The platform offers a scalable and secure solution for modern language learning.
KEYWORDS
Publication Date
3/24/2026
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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