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Abstract—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. Index Terms—Artificial intelligence, language learning, conver- sational systems, machine translation, recommendation systems, web application
Published in: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume 10, Issue 03, pp. 1-9
DOI: 10.55041/ijsrem58172