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@article{168716,
        author = {Pratiksha Patare and Prachi Said and Afrin Shaikh and Prof. Shweta Shah},
        title = {Bridging Language Barriers: The Role of AI in Real-Time Multilingual Translation for Video Conferencing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2001-2008},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168716},
        abstract = {With the rise of global communication the need for effective multilingual translation in video conferencing has become crucial to break language barriers. Traditional video conferencing tools lack real time multilingual translation capabilities, limiting themselves in international collaborations. We present Bridging language barriers: The role of AI in real-time multilingual translation for video conferencing a video conferencing system with live audio translation. This system facilitates communication between two people who speak different languages bridging the language barriers. Using AI based language models, our system captures live audio, process translations, and delivers them in real time reducing the latency up to 4-5 seconds and sometimes 3 second. The platform makes use of Neural Machine Translation NMT Algorithm which is a type of deep learning architecture which can learn to translate language.},
        keywords = {Video Conferencing, AI, WebRTC, Real-time Language Translation, MERN Stack, NLP, Facial Recognition, Noise Cancellation},
        month = {October},
        }