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@article{169001,
        author = {Khilesh Chaudhari and Dr. Arati Deshpande and Yogiraj Chaukhande and Rajiv Chaurasiya},
        title = {GestureSpeak - Hand Gesture Vocalizer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {4-13},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169001},
        abstract = {The "Hand Gesture Vocalizer" project addresses the critical need for improved communication tools for individuals with speech impairments. By employing an Arduino Uno microcontroller, Bluetooth module, flex sensors, and an accelerometer, the system captures and interprets hand gestures, translating them into both text and voice through a mobile application. The project involved rigorous design, development, and testing phases to ensure reliable and real-time gesture  recognition. The successful implementation demonstrates the system's potential as an effective communication aid. Future enhancements will focus on expanding gesture recognition capabilities, refining the app interface, and integrating machine learning for improved accuracy.},
        keywords = {Hand Gesture Vocalizer, speech impairment, Arduino Uno, Bluetooth module, flex sensors, accelerometer, real-time translation, mobile application, communication aid, machine learning},
        month = {October},
        }