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@article{169740,
        author = {Raj Gupta and Purvesh Singh Mandloi and Shivansh and Ashpan Kaushal and Shivam Sharma and .Naveen Chander},
        title = {AI-Powered Language Translation App},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2248-2253},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169740},
        abstract = {For the increasing globalization of communication, language barriers continue to pose significant challenges in various sectors such as business, healthcare, and education. This research explores the role of AI-powered language translation applications in enhancing cross-language communication. Through use of Machine Learning as in NLP (Natural Language Processing) through learning models, these applications provide real-time, context-aware translations of both text and speech. The study examines the accuracy, efficiency, and cultural adaptability of AI translation tools in comparison to traditional methods. Findings suggest that AI-powered solutions not only improve communication by offering more precise translations but also adapt to user preferences, making them highly personalized and contextually appropriate. Despite certain limitations, such as occasional errors in complex language structures, the potential of these technologies to foster global collaboration and inclusivity is immense. This paper concludes by discussing future advancements and the broader implications of AI in overcoming linguistic barriers.},
        keywords = {Artificial intelligence Cross-language communication, Machine, learning, Real-time translation},
        month = {November},
        }