AI-Powered Speech Therapy App
The approach
As Product Owner in the Scrum team, I:
Defined and prioritised the product backlog
Translated client needs into technical requirements
Led sprint planning and aligned design and development
As a Software Engineer on the team, I:
Led the development of the AI speech therapist pipeline, including developing the RAG, prompt engineering, using vector comparisons to determine the correctness of the user's answer
Designed and built multiple frontend components and screens, including user dashboards, module libraries, speech exercise components
We focused on:
Child-safe, accessible and intuitive UX
Personalised adaptive learning experiences
Engaging and child-friendly interfaces and gamification
The Solution
Developed a functional MVP featuring:
A virtual therapist interface guiding structured exercises
AI-driven personalised recommendations
Adaptive difficulty based on user progress
A child-friendly, intuitive UI/UX
The result
The project delivered a functional prototype aligned with FunWattle's goals, demonstrating how AI could enhance accessibility in speech therapy while maintaining ethical safeguards. Demonstrated scalable and extensible architecture for future integration. Received strong client feedback on usability and ethical design.
Beyond technical output, this project strengthened my ability to:
Lead within an Agile team
Translate healthcare needs into technical systems
Design AI solutions responsibly in sensitive domains
