This project is a prototype Parkinson’s screening application built as part of a first-year university course and developed collaboratively in a small group using Elm.
The goal of this app was to explore how interactive drawing tasks could potentially be used to assess motor control, accuracy, and memory, inspired by real clinical screening techniques.
Important: This is not a medical tool. It is strictly a proof-of-concept / demo and should not be used for diagnosis. It should be viewed as an interactive demo + concept exploration.
You can check the prototype here.
The app walks users through a set of drawing challenges where they attempt to trace predefined shapes.
- Start screen & navigation
- Level selection system
- Drawing canvas with tools
- Timer system
- Tracing algorithm
- Accuracy feedback screen
- Simplified UX/UI
Since this was an early-stage academic project, several planned features were not fully implemented:
- Star ratings
- No memory testing (e.g., recalling shapes after final level)
- Accuracy scoring is rough & experimental
- No backend or data storage