SignBridge: An Offline Bidirectional Indian Sign Language Translation System
Abstract
Communication barriers persist for hearing and speech-impaired individuals due to the lack of real-time, offline, bidirectional Indian Sign Language (ISL) translation tools. This paper presents SignBridge, an offline bidirectional system supporting Sign-to-Text/Speech and Text-to-Sign translation. MediaPipe is used for extracting hand and pose landmarks, while a TensorFlow-based hybrid CNN– Transformer model performs dynamic gesture recognition. A full-stack implementation using React.js and Flask ensures real-time interaction, and an avatar-based rendering module generates visual sign outputs. The system is designed for low- resource environments with improved privacy and reduced dependency on internet connectivity.
Fields of Study & Subjects
Hand Gesture Recognition Systems
Hearing Impairment and Communication
Assistive Technology in Communication and Mobility
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Language
- EN