Silent Conversations: A Deep Dive into using CNN and ChatGPT for deriving meaning from Language Gestures

For the community who are deaf or hard of hearing, sign language serves as a major means of communication. However, their inability to properly communicate is frequently hampered by a lack of resources and qualified translators. Computer vision and image processing methods, such as Convolutional Neural Networks, a more recent advancement in the field of computer vision, can be utilized to address this problem. The aim of translating sign language is to enable communication between those who are deaf and those who are hearing by precisely identifying, categorizing, and analyzing the hand motions used in sign language. To close the communication gap, this project attempts to develop a technology that can automatically convert Indian sign language into Textual Context. Using techniques like CNN for image classification and generative AI (ChatGPT) for sentence formation, which are techniques and tools known for their high degree of accuracy, we can develop an effective solution.