Flutter UI
Main AAC home flow for symbol-based communication.
Flutter UI
Trilingual card browsing for everyday needs.
Flutter UI
Supervised camera screen for supportive FER cues.
Overview
Language and caregiver-facing controls.
Overview
Category navigation inside the offline Flutter client.
Architecture
Offline Flutter client with on-device TFLite inference.
Architecture
Layered design from the thesis architecture chapter.
Architecture
Caregiver, child, and observation support interactions.
Architecture
Local profiles, vocabulary, and preferences.
Architecture
End-to-end offline AAC and observation flow.
AI
On-device FER pipeline with uncertainty gates.
AI
Camera → preprocess → TFLite → cautious cue.
AI
Training evidence for the primary FER model.
AI
Public-dataset evaluation (supportive cue only).
AI
Class distribution used for model training/eval.
AI
Model export and mobile packaging evidence.
Results
Results and limits from the evaluation chapter.
Deployment
Google Play internal testing evidence.
Testing
Manual walkthrough on a physical Android device.
Testing
Quantitative checks from the testing chapter.
Clinical
Pragathi Centre / National Hospital Galle letter of support.
Clinical
Field visit: Pragathi Child Intervention Centre.
Clinical
Centre identification from the thesis appendix.
Clinical
Stakeholder / field exposure context.
Research
Methodology figure used in the paper track.
Research
High-quality figure from the EICON camera-ready DOCX.
Research
Early problem framing from the thesis.
