SamurAI: AI-Powered Learning App for Speech Therapy in Developing Economies

Authors

  • Christina SIJERA College of Computer Studies, De La Salle University, Philippines Author
  • Nicole BUERE College of Computer Studies, De La Salle University, Philippines Author
  • Franco CARINO College of Computer Studies, De La Salle University, Philippines Author
  • Caleb RUBIO College of Computer Studies, De La Salle University, Philippines Author
  • Ryan EBARDO College of Computer Studies, De La Salle University, Philippines Author

Abstract

This paper presents SamurAI, an AI-powered application designed to enhance home-based speech interventions for children with phonological and articulation disorders, particularly in developing economies. Built to complement rather than replace clinical expertise, it enables therapists to assign customized exercises, monitor progress remotely, and provide targeted feedback. Using speech recognition, SamurAI delivers clear instructions, interactive tasks, and real-time feedback, allowing caregivers to guide practice effectively at home. Its therapeutic content follows established speech therapy frameworks to ensure clinical accuracy and is developed through a user-centered process involving therapists and parents. Beyond supporting individual language development, SamurAI fosters educational readiness, lasting communication skills, and scalable therapist-led interventions in resource-limited settings.

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Published

2025-12-01

How to Cite

SamurAI: AI-Powered Learning App for Speech Therapy in Developing Economies. (2025). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/5647