IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 14 Issue 1 Computer Science English January - February 2026 N N Y 2026 01 03 Computer Sciences Multilingual Semantic Object Identification Using Computer Vision and NLP English Y 1 8 Suchetha N V English Y Abhijeet P M English N Likesh K English N Vinuth A N English N Suhas H English N https://doi.org/10.55524/ijircst.2026.14.1.1 In today’s digital era, accessibility to technology across languages is essential to bridge communication gaps and foster inclusivity. Translation bridges communications between cultures, just as a Multilingual Semantic Object Identification Using Computer Vision and NLP does for visual recognition; instead of keeping users to one language, this system identifies real-world objects and shares results in multiple languages, making technology feel more accessible and user-friendly for diverse communities. The project will further demonstrate how perfectly vision and language can go hand in hand by combining deep learning-based object detection with natural language processing. This approach uses models pre-trained on recognizing objects, combined with translation tools and speech output, ensuring accuracy and real-time performance. Ultimately, the outcome of this system is to provide a helpful tool for its users that offers beneficial support for learning, accessibility, and digital inclusion. Consequently, this grounds the basis for more inclusive AI technologies in a multilingual world. English NLP, Computer vision, YOLO, Blip, Object Identification. https://ijircst.org/abstract.php?article_id=1429