{"data":{"full_name":"f9-o/NPPCS","name":"NPPCS","description":"Sentinel is a bilingual predictive system (English/Arabic) designed to integrate seven real-time data sources, including weather, traffic, and CAD, to anticipate hospital strain up to 90 minutes in advance. It offers live tactical mapping and leverages AI-powered logic  for efficient inter-facility transfers.","stars":1.0,"forks":0.0,"language":"TypeScript","license":"MIT","archived":0.0,"subcategory":"real-time-threat-detection","last_pushed_at":"2025-12-26T15:55:45+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":6.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":16.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T18:33:28.569287+00:00"}}