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@article{182091,
        author = {RAKSHA K and Bhavya P S and Divya A K and Naseema C A},
        title = {Hand Gesture Recognition System with Voice Feedback Using MediaPipe and OpenCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {811-815},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182091},
        abstract = {A real-time hand gesture recognition system with voice feedback is presented in this paper. It was created with MediaPipe and OpenCV. By converting hand gestures into audible voice commands, the system seeks to help people with speech and hearing impairments. Real-time hand landmark tracking is done with MediaPipe, and image processing and gesture recognition are done with OpenCV. The identified gesture is translated into voice output by a text-to-speech engine. The suggested approach is portable, effective, and compatible with consumer-grade hardware that has a webcam. It illustrates the possibility of creating accessible and reasonably priced assistive communication technologies.},
        keywords = {Hand Gesture Recognition, MediaPipe, OpenCV, Text-to-Speech, Real-time System},
        month = {July},
        }