adhamrafi3/ComfortADHD
ComfortADHD is an end-to-end framework for early ADHD prediction, utilizing a Stacking Ensemble of ML models for high accuracy. It features XAI for clinical transparency, LLMs for behavioral analysis, and a Dialogflow-assisted chatbot for virtual therapy, bridging the gap between screening and patient support.
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1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 10, 2026
Commits (30d)
0
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