Live sign language interpretation
T. Nandana Ravishankar, K. M. Samyuktha, Erla Sai Gokul, Satya Sai Sujan Nadiminti · 2025
This research presents a Sign Language Interpretation system employing advanced image detection and translation algorithms to facilitate communication between sign language and non-sign language users. Operating in real-time, the system accurately identifies sign language gestures and translates them into comprehensible English text. Through a user-centric design approach, the system offers an intuitive interface accessible to both sign language users and those unfamiliar with sign language, thereby fostering inclusivity. Innovative methods such as multimodal integration and dynamic learning mechanisms are employed to enhance accuracy and adaptability. Ethical considerations are carefully addressed to ensure responsible technology usage. By empowering sign language users and facilitating communication accessibility, this research contributes significantly to fostering a more inclusive society where individuals can engage meaningfully without barriers.