Project Spotlight

Liquiboard: Research and Development of Dynamic Error-Correcting Keyboard App

Developed a custom Android keyboard that utilizes machine learning to analyze and adapt to user's unique typing pattern. The keyboard dynamically adjusts the shape and sensitivity of key borders based on frequently tapped areas, reducing typing errors and improving overall accuracy and user experience.

User testing the adaptive typing experience of the Liquiboard prototype

Project Details

Keywords
Android Machine Learning Mobile Development

Inside the build

Developed a custom Android keyboard that utilizes machine learning to analyze and adapt to user's unique typing pattern. The keyboard dynamically adjusts the shape and sensitivity of key borders based on frequently tapped areas, reducing typing errors and improving overall accuracy and user experience.

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