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@article{183732,
        author = {Harsh Patel and Hanil Shah and Harsh Sharma and Shekhar Hande and Sham Hange and Makarand Upkare},
        title = {GestureSpeak: A Real-Time Sign Language Interface},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {2939-2944},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183732},
        abstract = {The system, promises to recognize gestures in real time and translate them into sign language. The goal for the system is to act as a liaison for the people who can communicate using sign language and those who cannot by translating their gestures into spoken English. From the point of view understanding using it, the system aids inclusivity while reducing communication gaps within the society. The system does not only incorporate innovative technology but also addresses the social problem of lack and barriers to communication that the people suffering from the disabilities face on a daily basis. This guarantees that rational solution has been provided to improve access and ease of communication which highlights the urgency of supporting the community by providing socially diverse services.},
        keywords = {Empowerment, Inclusive Communication, Real-Time Gesture Interpretation, Sign Language Translation, Societal Impact.},
        month = {August},
        }