This $303,226 Small Business Innovation Research (SBIR) Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop an innovative AI-driven platform for personalized language learning and speech development support for young children. The project will create an adaptive, user-friendly solution that combines speech recognition algorithms and machine learning techniques to track and respond to each child's language progress, empowering caregivers and educators to foster language growth. The anticipated outcomes include a functional prototype demonstrating 90% phoneme recognition accuracy and seamless integration of adaptive learning pathways, with the goal of revolutionizing early speech development tools and addressing the critical need for accessible, personalized support for children with communication delays. No subawards are planned for this award.
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