INDIAN SIGN LANGUAGE TO TEXT SPEECH TRANSLATION

Abstract

Communication between hearing
and non-hearing individuals has always
posed a challenge, especially for those who
are unable to speak or hear. Indian Sign
Language (ISL) plays a crucial role in
enabling members of the hearing-impaired
community to express themselves and
interact with others. However, a major barrier
persists in translating ISL gestures into a
format understandable by non-signing
individuals, particularly in real-time settings.
With recent advancements in computer
vision and deep learning, it is now possible to
automate the recognition of ISL gestures,
significantly improving the communication