Case Study

Dyslexia Early Detection.

Voice-guided cognitive screening mobile app for elementary school educators

Client Project

React Native Expo TypeScript Android

Subtest Interactive Test Module Teacher-assisted picture naming screening test with real-time error recording and voice instruction replay.

Teacher Screening Session Dashboard Active screening session manager with batch progress monitoring and student completion metrics.

Overview.

A mobile application designed to help elementary school teachers screen students for early signs of dyslexia through 13 structured voice-guided interactive tests covering key cognitive domains such as rapid naming, phonological awareness, and working memory.

This was a freelance project, where I worked as a Software Developer responsible for full product development, UI/UX design, and core mobile architecture.

Key Features.

13 voice-guided interactive test modules

Rapid naming & phonological awareness screening

Working memory cognitive assessment

Children-centric, accessible UI/UX system

Teacher-assisted screening workflow

Real-time session progress and completion tracking

Impact & Results.

I designed and implemented the full UI/UX system tailored specifically for children and educators. The application was built with 13 interactive test modules, each guided by voice interaction to support early learning assessment in children.

I also coordinated the end-to-end development process by managing feature milestones, organizing iterative delivery of test modules, and ensuring smooth communication throughout the development lifecycle.

The application provides a structured and accessible way for teachers to perform early dyslexia screening, improving early detection workflow in educational environments.

Engineering Takeaways.

Through this project, I gained deep experience in product design systems, mobile UX for children-focused applications, voice interaction integration, and building accessible mobile interfaces with React Native and Expo.