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@article{164404,
        author = {SOURAB TIWARI and PARTHAV BHOKSE and DEEPAK BORADE and DR. SUDARSHAN CHAVAN},
        title = {SOURAB TIWARI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {10},
        number = {12},
        pages = {3128-3133},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164404},
        abstract = {This paper presents the design and implementation of a Smart Glove system aimed at facilitating communication for individuals with speech and hearing impairments. The proposed system utilizes an Arduino Uno-microcontroller along with various sensors and modules to interpret hand gestures and convert them into meaningful digital signals. The Smart Glove is equipped with flex sensors, accelerometer, and gyroscope to capture hand movements and gestures accurately. The Arduino Uno-microcontroller processes the sensor data and employs machine learning algorithms for gesture recognition. A custom-designed algorithm interprets the hand gestures into corresponding textual or auditory outputs, which are displayed or played through an integrated display or speaker The Smart Glove offers a user-friendly interface and can be  },
        keywords = {Power Electronics, Micro-controller, Sensor’s, Calculation.},
        month = {August},
        }