• Anupriya
• Sumith M P
• Roma Hadimani
• Varshitha N
• Ranjitha V

This research presents a two-way Indian Sign Language (ISL) conversion model utilizing gesture recognition techniques, aimed at overcoming communication challenges faced by people who are hard of hearing in India. The suggested framework facilitates conversion of ISL gestures into spoken and written language, and vice versa, allowing for more natural, interactive communication between hearing and non-hearing individuals. Using modern machine learning approaches, the system delivers accurate, real-time gesture interpretation with support for multiple languages. The results demonstrate high precision in gesture recognition and suggest strong potential for social inclusion and increased accessibility.

Indian Sign Language, gesture recognition, bidirectional communication, machine learning, inclusivity, accessibility, real time processing, multi-language support.

"Dual-Mode Indian Sign Language Translator via Gesture Recognition ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.e360-e365, May-2025, Available :http://www.jetir.org/papers/JETIR2505511.pdf

"Dual-Mode Indian Sign Language Translator via Gesture Recognition ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppe360-e365, May-2025, Available at : http://www.jetir.org/papers/JETIR2505511.pdf