Iz.

Mobile App, Accessibility

A cross-platform academic app exploring accelerometer-based fall detection, camera and machine learning sign-language translation, and image text recognition with read-aloud support.

Role
Product design & mobile development
Year
2022
Technology
Cross-platform Mobile, Machine Learning, Device Sensors
Three Compañera mobile screens for fall detection, sign-language translation and reading text from images

Project context.

The brief

This academic project explored how one cross-platform app could bring several assistive concepts into a single mobile experience.

The response

The prototype used a phone accelerometer for fall detection, a camera and machine learning for sign-language translation, and image text recognition with read-aloud support.

The outcome

The repository documents an academic mobile prototype that combines device sensors, camera input and machine learning.

Contribution

  • Product design
  • Cross-platform development
  • Device sensor integration
  • Machine learning features

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