Indian Sign Language Recognition using Machine Learning
The Indian Sign Language (ISL) and American Sign Language (ASL) Recognition project utilizes neural networks to interpret and recognize sign language gestures. This application serves as a communication bridge for individuals with hearing impairments, converting sign language into text or speech. The neural networks understand and interpret the intricacies of both ISL and ASL, facilitating effective communication and fostering inclusivity in diverse linguistic contexts.
Real Time Translation of Indian Sign Language using LSTM
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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