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Indian Sign Language to Text/Speech translation
Author Name : Malhar Jagtap, Rushikesh Pawar, Shraddha Maske, Shadab Shaikh, Sangita Bhoyar, Shubhra Tonge
ABSTRACT The advancement of technology in Human-Computer Interaction (HCI) has led to the development of accessible communication systems for people with hearing impairments. Indian Sign Language (ISL) is a vital means of communication for the Deaf community in India. This paper presents a comprehensive overview of methods, systems, and technologies involved in translating ISL into text and speech. The completed project utilizes machine learning, computer vision, and natural language processing to bridge communication gaps. This paper also explores the challenges encountered and the effective solutions implemented in the final system, emphasizing the benefits for the Deaf community in India[1][2].