/the garage — 07 / 09
Itacatech Stage projectDevelopmentUX DesignMobile App for Rock Recognition
Mobile extension of the AI model
Itacatech Stage project
Mobile App for Rock Recognition
Mobile extension of the AI model
- Flutter
/overview
A Flutter extension of the rock-recognition model: capture a photo, get a real-time classification, and browse a categorized rock database.
/approach
01
Capture flow
Designed a capture-first flow for on-site use, so classification starts the moment a photo is taken.
02
Model integration
Integrated the existing AI rock-recognition model directly into the mobile client.
03
Personal log
Added a personal log of recognized rocks and a browsable, categorized database, from wireframes to a hi-fi prototype.
/development
Developed a mobile application integrating the AI rock recognition model, allowing users to capture photos, receive real-time geological classification, track recognized rocks, and browse a categorized rock database.
- Flutter
Itacatech Stage project
Mobile App for Rock Recognition
Mobile extension of the AI model
- Flutter
/ux design
Designed the app experience in Figma before development: a capture-first flow for on-site use, instant classification feedback, a personal log of recognized rocks, and a browsable, categorized rock database — from wireframes to a high-fidelity prototype.
- Figma
- Wireframes
- High-fidelity prototype
- Interaction design
Itacatech Stage project
Mobile App for Rock Recognition
Designing the field experience for rock recognition
- Figma
- Wireframes
- High-fidelity prototype
- Interaction design
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