Smart Sign Automated Caption Generator for Sign Language

Smart Sign Automated Caption Generator for Sign Language

Sanket Shukla, Abhishek Shukla, Yogesh Tiwari Department of Artificial Intelligence and Data Science

IIMT College of Engineering, Gretaer Noida, UP, India shuklasanket2004@gmail.com

Abstract— Design, fabrication, and experimental analysis of microelectromechanical systems (MEMS)-based mass air flow (MAF) sensor especially tailored for use in ventilator devices are presented here. With principles of forced convective heat transfer in mind, the sensor employs a platinum (Pt) micro heater and This paper proposes a novel approach for developing a real-time sign language translation system, aimed at bridging communication gaps between deaf and hearing communities. By leveraging computer vision techniques with OpenCV and deep learning models, this project seeks to create an automated caption generator that can detect, recognize, and translate sign language gestures into readable text or speech. The system's accuracy, real-time performance, and adaptability will be evaluated through the integration of machine learning algorithms for hand and gesture recognition.