System Screenshots & Features
Explore the comprehensive dysgraphia detection and intervention platform
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An AI-driven platform for early screening and intervention of dysgraphia in children, combining custom neural networks, localized handwriting datasets, and immersive educational tools to support parents, teachers, and therapists.
Explore the comprehensive dysgraphia detection and intervention platform
AI-powered screening and intervention for handwriting-based learning disabilities
Dysgraphia is underdiagnosed in Sri Lanka due to limited awareness, lack of specialists, and absence of localized datasets, causing delayed educational support for affected children.
Developed a neural network-based system using a locally collected numeric handwriting dataset and publicly available letter datasets to detect dysgraphia early and accurately.
Enables early screening, gamified intervention, and bilingual AI support for children, parents, teachers, and therapists through a unified platform.
Core capabilities of the dysgraphia support platform
Advanced CNN models analyze handwriting patterns to identify dysgraphia with high accuracy.
Supports numeric dysgraphia using local datasets and letter dysgraphia using curated online datasets.
Interactive learning activities designed to enhance fine motor skills and handwriting confidence.
Real-time Sinhala and English chatbot with speech synthesis and lip-sync for child-friendly engagement.
Secure discussion spaces for parents, teachers, and specialists to share experiences and guidance.
Child-safe design with consent-based data collection and non-diagnostic framing.
AI, web, and immersive technologies used
Key outcomes and achievements
Let’s build inclusive, intelligent systems for early learning support.