• Rehan Nelson Thomas
• Jia Ann James
• Akshay P Kumar
• Sreelakshmi P S
• Rani Saritha R

Sign language, as a fundamental means of communication, holds immense significance for individuals who face challenges in speaking or hearing, providing them with a powerful tool to convey their thoughts and sentiments effectively. Its role is indispensable in bridging communication gaps within the physically challenged community, fostering connections and understanding. This project's primary aim is to develop an advanced neural network capable of accurately interpreting and categorizing the intricate hand gestures inherent in sign language. Through comprehensive analysis of images depicting signing gestures, the neural network will discern and classify the corresponding alphabet representations, enabling seamless translation into written English and further into Malayalam. The creation of such a sophisticated translator has the potential to revolutionize communication dynamics for individuals with hearing or speech impairments, empowering them to participate more actively in various social interactions and engagements. Furthermore, the successful execution of this project stands to significantly enhance inclusivity and accessibility for the deaf and mute community, thereby promoting a more equitable and inclusive society. It represents a significant stride forward in leveraging technology for societal welfare, underscoring the importance of embracing innovation to address pressing social challenges. By prioritizing the development of inclusive technologies, this project advocates for equal opportunities and rights for all individuals, regardless of their physical abilities or disabilities. In summary, the implementation of this project not only addresses a critical need within the community but also embodies a broader commitment to social responsibility and technological innovation for the greater good.

sign language, gesture, Convolutional Neural Networks, deep learning, OpenCV, media pipe

"Gesture Speak", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k406-k408, March-2024, Available :http://www.jetir.org/papers/JETIR2403A52.pdf

"Gesture Speak", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk406-k408, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A52.pdf