• Yellutla Purushotham
• R Hamsaveni
• Bhima Sai
• Shaik Mazveen
• Nagavenu

With a focus on creative technology solutions for social concerns, our initiative sets out to break down societal obstacles to communication. The goal is to break down societal barriers to communication by using cutting-edge technology to address social challenges. It focuses on word to picture conversion, which is essential for those with visual impairments to understand visual information. The project converts narratives into visually consistent pictures using the Stability API, which is driven by AI models based on GAN architecture. This increases accessibility for those with visual impairments and fosters a more inclusive society. In order to simplify information retrieval and understanding, the project also uses a transformer-based methodology, utilizing the powers of Encoder and Decoder transformer models for decoding complex data inside pictures. It also tackles the issue of efficient sign language communication access by utilizing a Support Vector Machine (SVM) model to recognize and decipher sign language motions from video inputs. The SVM attains a previously unheard-of accuracy rate of 99.98%, proving the validity and effectiveness of the strategy in promoting communicative accessibility for the community of the deaf who are hard of hearing. The initiative is a prime example of how technology can revolutionize society by removing obstacles to communication and promoting inclusivity.

AI Accessibility, GANs, Inclusivity, machine Learning, Multi Modal, Sign Language

"Words to Pictures: GAN’s Societal Transformation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.b312-b319, June-2024, Available :http://www.jetir.org/papers/JETIR2406141.pdf

"Words to Pictures: GAN’s Societal Transformation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppb312-b319, June-2024, Available at : http://www.jetir.org/papers/JETIR2406141.pdf