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. All relevant files are attachted with GIT.
adhamrafi3/ComfortADHD
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