International Journal of Scientific Research and Engineering Development

Institutions that must develop exam materials in different languages now face difficulties due to the growing demand for multilingual educational resources. Question paper translation by hand is expensive, time-consuming, and may result in inconsistent formatting and meaning. This study suggests QTrans, an automated multilingual exam question translation system that makes use of generative artificial intelligence (AI), as a solution to this problem. Users can upload academic materials, such as question papers, in DOCX or PDF format, choose the target language, and the system will automatically translate them into English, Hindi, Telugu, Tamil, Kannada, and other Indian languages. The suggested platform accurately translates text while maintaining the original document structure by combining document processing methods with AIbased language translation models. Uploading documents, previewing translations, and downloading translated documents in various formats are all made possible by an intuitive web interface. According to experimental evaluation, the system maintains acceptable translation quality while drastically cutting down on translation time and effort when compared to manual approaches. By facilitating the effective development of multilingual exam materials, the suggested solution can benefit educational institutions, exam boards, and online learning platforms.

K Naresh, Mallu Adrija,"Automated Multilingual Translation System for Exam Question Papers Using Generative AI" International Journal of Scientific Research and Engineering Development, V9(2): Page(1442-1445) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.