The hearing-impaired community in India deserves the access to tools that help them communicate, however, there is limited known technology solutions that make use of Indian Sign Language (ISL) at present. Even though there are many ISL users, ISL cannot access social and education arenas because there is not yet an efficient technology to convert the ISL signal into speech or text. We initiated this initiative owing to the rising demand for products and technologies that are inclusive and help ISL, filling the gap of communication for the ones with hearing disability. Our goal is to build an reliable sign language recognition system with the help of Convolutional Neural Networks (CNN) to . By expanding communication access, we aspire toward better educational opportunities and a more inclusive society for hearing impaired people in India.

翻译：印度的听障群体理应获得辅助沟通的工具，然而目前利用印度手语（ISL）的技术解决方案仍较为有限。尽管ISL使用者众多，但由于缺乏将ISL手势高效转换为语音或文本的技术，ISL仍难以进入社交与教育领域。鉴于市场对包容性技术产品的需求日益增长，为填补听障人士的沟通鸿沟，我们启动了这项旨在辅助ISL的技术研发。本研究旨在借助卷积神经网络（CNN）构建可靠的手语识别系统。通过拓展沟通渠道，我们期望为印度听障群体创造更优质的教育机会，推动建设更具包容性的社会环境。