AI transforms education, with many U.S. parents recognizing its role in teaching. However, awareness of its current classroom applications remains low. Language learning apps show limitations for young learners. Users face issues like reliance on reading skills not yet developed by young children, lack of speaking practice, and high costs associated with private tutors. This prompts the development of a more engaging product featuring animated characters and voice recognition to better suit children’s learning styles.

Creating a conversational AI app for children introduces challenges. Many automatic speech recognition systems struggle with children's voices, leading to misinterpretations. To address this, a proprietary ASR system trained on over 5,000 hours of children's voice data was created. Compliance with regulations like the Children’s Online Privacy Protection Act also guided the development of in-house models that control avatar behavior and language for child safety.

The global teacher shortage highlights a significant demand for language learning solutions, especially for children under the age of seven. Developing an AI app for this demographic presents opportunities in an international market, fostering potential partnerships and pilot programs. Transforming a personal initiative into a broader mission requires choosing a relevant problem and committing to the necessary work for impactful solutions.

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