OBJECTIVE OF THE WORK :
To recognize two-handed Indian Sign Language alphabets (A-Z) and digits (0-9) and classify them accurately using the Bag of Visual Words model.
To overcome the limitations of traditional methods in sign language recognition, and bridge the communication gap between people with hearing or speech impairments and the general population.
For education of sign language, it aims to create a Text-to-Sign Image generation software with a Graphical User Interface for effective and easy user interaction.