{"data":{"full_name":"adhamrafi3/ComfortADHD","name":"ComfortADHD","description":"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.","stars":1.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"mental-health-chatbots","last_pushed_at":"2026-02-10T15:52:48+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-05T21:24:09.254476+00:00"}}