Kenya, United States International University
Our project, TAWI, is an innovative solution that leverages real-time speech recognition technology to help children with Auditory Processing Disorder (APD) communicate more effectively. Instead of traditional hearing aids, TAWI uses speech recognition technology to enhance speech and transcribe spoken words to text, making it easier for children with APD to engage in conversations and interact with others. We believe that TAWI is great because it provides a more affordable and practical alternative to traditional hearing aids, while also giving children with APD the tools they need to communicate effectively and confidently. TAWI is a software app that helps children with Auditory Processing Disorder (APD) improve their auditory skills. It leverages GitHub CoPilot, Visual Studio IntelliCode and speech recognition tools from Azure Cognitive Services and OpenAI Whisper and includes speech enhancement, speech-to-text conversion, and gamified auditory training exercise. Users can connect the app to regular earphones, making the solution more affordable, accessible and discreet than traditional hearing aids. They can also read transcribed speech on their phone.
Our team comprises professional software engineers and data scientists from the United States International University-Africa who are dedicated to supporting children with Auditory Processing Disorder (APD). Our goal is to ensure these children can seamlessly integrate with their peers and feel included. With expertise in software development, machine learning, data analysis, and human-computer interaction, we develop innovative solutions. By fostering collaboration, conducting research, and employing user-centric design, we create impactful and inclusive software applications with a global reach.
Technologies we are looking to use in our projects
Cognitive Services or other AI