This project describes a sign language translation glove that uses flex sensors and an accelerometer/gyroscope to detect finger movements and positions. An Arduino microcontroller collects sensor data and sends it over Bluetooth to an Android device running a neural network model to recognize signs and output text. The goal is to translate American Sign Language signs into text in real-time using open source hardware and software components like Arduino, Android ADK, and various sensors.