{"data":{"full_name":"itz-Mayank/Chest-X-Ray-Diagnostics","name":"Chest-X-Ray-Diagnostics","description":"Rapid and accurate diagnosis of COVID-19 from chest X-ray images can significantly improve patient outcomes and relieve stress on healthcare resources. In this project, the task is to build a multi-class classification model capable of distinguishing between COVID-19, viral pneumonia, and normal chest X-ray images using the provided dataset.","stars":2.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"covid-19-xray-diagnosis","last_pushed_at":"2026-03-12T17:35:58+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":13.0,"adoption_score":2.0,"maturity_score":1.0,"community_score":0.0,"quality_score":16.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-11T03:02:38.156695+00:00"}}