• Hritika Sanjay Dhasal
• Vaishali Devidas Sonawane
• Yash Chandrakant Bari
• Sharvari Santosh Raut
• Abhijeet Vitthal Sagare

India rank 2nd in the world population, which also means the number of mute or deaf people in India can also be. According to a World Health Organization report - 'India has 63 million people who are either suffering from complete or partial deafness. This is equal to 6.3% of the total population of India. This part of India's population will remain disconnected without technology. In 2017, India only had 250 certified interpreters for sign language available. Therefore, there is a need for cost-effective and easily available solutions. Due to advancements in the latest technology both hardware and software solutions are available like leap motion devices and translation through computer vision. Our project is about sign language translation to English. We have used custom data of approximately 500 images for each item ((A-Y), (0-9), and (other words)) for training and testing data which gives an accuracy of 94%. We have acquired this accuracy through a convolutional neural network (CNN). The dataset is prepared using a laptop/mobile webcam. The suggested solution is able to detect gestures in real-time accurately and form words and sentences. Further, we have converted our model into an android application using a java programming language with real-time word-formation.

Convolution neural network, Sign language recognition, mobile application, mobile sign language app, computer vision, gesture recognition

"Sign Language Recognition Android App using Convolution Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.i701-i705, June-2022, Available :http://www.jetir.org/papers/JETIR2206885.pdf

"Sign Language Recognition Android App using Convolution Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppi701-i705, June-2022, Available at : http://www.jetir.org/papers/JETIR2206885.pdf