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@article{176390,
        author = {Dhyan parasiya and Srijita Bhattacharjee and niraj sable and rushikesh mhatre and aniket saravade},
        title = {TALKSYNC:AI POWERED REAL TIME SPEECH TO TEXT TRANSLATION FOR VIRTUAL MEETINGS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5184-5190},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176390},
        abstract = {Virtual meetings have turn out to be an important mode of verbal exchange in today’s digital global, enabling remote collaboration by means of transmitting audio and video records over the net. However, language barriers and accessibility demanding situations can abate powerful verbal exchange. To deal with this, our project, goals to enhance digital communique via offering actual-time speech-to-textual content translation and automated assembly summarization. The platform permits contributors to pick their preferred spoken and subtitle languages, ensuring seamless multilingual interaction. Using advanced AI models together with Whisper AI and integrating numerous APIs, the machine transcribes spoken content material in real-time and shops it in a database. Additionally, an wise backend approaches the transcript to generate concise assembly summaries routinely. The mission is constructed the use of Angular for the user interface and deployed on Vercel for efficient virtual meeting management. This answer complements accessibility, collaboration, and productivity in virtual meetings, this mission is call as Talk sync in which realtimespeech to textual content translation is executed.},
        keywords = {Real-time speech-to-text, AI-powered translation, Speech recognition, Multilingual communication, Natural language processing (NLP), Virtual Meetings},
        month = {April},
        }