Indian Sign Language Detection with Neural Networks

Indian Sign Language Detection with Neural Networks addresses the communication needs of the hearing-impaired community by recognizing and interpreting Indian Sign Language (ISL) gestures. Leveraging neural networks, this project interprets complex hand movements and expressions, providing an accurate and efficient means of translating sign language into text or speech. The application finds relevance in accessibility tools, communication devices, and inclusive technologies catering to the diverse linguistic needs of the hearing-impaired.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM