Smart Glove for Gesture Recognition using IOT

Communication challenges faced by individuals with speech and hearing impairments create barriers to effective interaction in daily life. This project, "Smart Glove for Gesture Recognition using IOT," introduces an assistive technology solution that translates hand gestures into text and speech, facilitating seamless communication. The proposed system integrates flex sensors, an MPU6050 accelerometer and gyroscope, and an ESP32 microcontroller to capture finger movements and hand orientation. The ESP32 processes sensor data and transmits it to an Android application via Bluetooth or Wi-Fi. The application then converts the recognized gestures into real-time text and speech output, allowing individuals with communication disabilities to convey messages effectively. The smart glove is designed to recognize alphabetic characters, numerical digits, and essential phrases in sign language. The Android application features a user-friendly interface for ease of use, along with text-to-speech functionality for improved accessibility. This project aims to develop a cost-effective, portable, and reliable assistive device that enhances independent communication for individuals with speech and hearing impairments. By leveraging IoT capabilities, the system allows for data storage, remote access, and potential future enhancements, contributing significantly to inclusive communication, education, and healthcare.