Real-Time Sign Language Interpreter

Author(s)	Ms. Shraddha Sanjay Kosare, Ms. Sakshi Ramdas Kamdi, Ms. Payal Rameshwar Jibhakate, Ms. Subodini Pramod Gote, Ms. Tanushri Sunil Aote, Ms. Vaishnavi Raju Wagh, Prof. Sabyasachi Bhattacharya
Country	India
Abstract	This paper presents a Real-Time Sign Language Interpreter that bridges the communication gap between hearing-impaired individuals and those without knowledge of sign language. The system integrates an ESP32-CAM for image capture, a pre-trained and quantized MobileNet model for real-time gesture recognition, and text-to-speech and speech-to-text conversion for bidirectional communication. It supports English, Hindi, and Marathi, providing a multilingual, customizable, and accessible communication interface. The system is portable, cost-effective, and does not require wearable equipment, making it ideal for various public and private sector applications. Keywords: Sign Language Recognition, MobileNet, ESP32-CAM, Real-Time Processing, Multilingual Communication
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42836
Short DOI	https://doi.org/g9g73k

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International Journal For Multidisciplinary Research