Indian Sign-Language Gesture Recognition
MediaPipe hand-skeleton tracker and LSTM temporal classifier translating ISL gestures into text and speech.
Project Overview
Captures 21 3D hand keypoints from webcam video feeds, translates complex dynamic sign language sentences into spoken text in real time, bridging communication gaps for speech and hearing impaired individuals. ### Practical Student Engineering Solution Fully functional hardware demonstration prototype equipped with dedicated microcontrollers, precision sensors, actuators, and an interactive cloud/mobile telemetry dashboard. ### Key Learning Outcomes - Embedded C / MicroPython firmware architecture and sensor interfacing - IoT telemetry protocols (MQTT / HTTP / BLE / LoRaWAN) - Power regulation, hardware debugging, and PCB design principles - Comprehensive technical documentation aligned with IEEE academic standards
Modern commercial and industrial infrastructure requires automated, real-time sensing and telemetry. Conventional manual monitoring suffers from high latency, human error, and lack of predictive fault visibility for Indian Sign-Language Gesture Recognition.
A turnkey engineering prototype integrating high-precision sensor modules, dedicated microcontroller unit, and cloud telemetry protocols to automate measurement, trigger alert thresholds, and provide remote dashboard control.