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@article{206748,
        author = {Ms. Avva Neeeda and Ms. Avva Sazmi and Ms. Aysha Sana K and Ms. Fathimath Zuha and Prof. Alwyn Edison Mendonca},
        title = {Smart Real-Time Transliteration and Translation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {296-301},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206748},
        abstract = {Typing across multiple languages on conventional systems often requires switching keyboard layouts or using external tools, which interrupts workflow and reduces efficiency. This paper introduces a smart real-time transliteration and translation system that enables users to input text in one language while automatically converting it into a desired target language. The proposed system combines natural language processing techniques with machine learning models to provide accurate and context-aware output. By eliminating the need for manual switching and offering real-time feedback, the system enhances usability and accessibility. The solution is particularly useful in multilingual environments, supporting communication, education, and content creation.},
        keywords = {Transliteration, Machine Translation, Natural Language Processing, Multilingual Systems, Real-Time Processing},
        month = {July},
        }