{"id":20198524,"url":"https://github.com/itsleonb/covid-19-ann","last_synced_at":"2025-10-07T10:49:55.910Z","repository":{"id":175085960,"uuid":"577361986","full_name":"itsLeonB/covid-19-ann","owner":"itsLeonB","description":"A deep-learning model for predicting COVID-19 from chest X-ray scans","archived":false,"fork":false,"pushed_at":"2024-05-13T09:15:30.000Z","size":23741,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-07T10:49:55.145Z","etag":null,"topics":["computer-vision","covid-19","deep-learning","flask","x-ray"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/itsLeonB.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-12-12T15:12:40.000Z","updated_at":"2025-07-07T11:38:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"bbc540ea-00f7-40eb-aaf7-0792df79ccea","html_url":"https://github.com/itsLeonB/covid-19-ann","commit_stats":null,"previous_names":["itsleonb/covid-19-ann"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/itsLeonB/covid-19-ann","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsLeonB%2Fcovid-19-ann","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsLeonB%2Fcovid-19-ann/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsLeonB%2Fcovid-19-ann/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsLeonB%2Fcovid-19-ann/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/itsLeonB","download_url":"https://codeload.github.com/itsLeonB/covid-19-ann/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsLeonB%2Fcovid-19-ann/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278762921,"owners_count":26041444,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","covid-19","deep-learning","flask","x-ray"],"created_at":"2024-11-14T04:32:00.566Z","updated_at":"2025-10-07T10:49:55.893Z","avatar_url":"https://github.com/itsLeonB.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# COVID-19 Prediction with ANN\n\n## Deskripsi singkat\n\nRepository ini berisi semua file yang dibutuhkan untuk melakukan deployment model Machine Learning Image Classification menggunakan ANN (Artificial Neural Network). Adapun model yang digunakan merupakan model untuk memprediksi gambar scan x-ray dada yang menandakan gejala COVID-19, Pneumonia, atau paru-paru normal.\n\n#\n\n## Sekilas mengenai input model\n\nAgar dapat memprediksi kucing atau anjing, data input model harus mengikuti format sebagai berikut:\n\n-   Gambar dengan format umum seperti .jpeg, .png, .webp, dsb.\n-   Gambar dikonversi ke dalam bentuk array/tensor\n-   Nilai pixel gambar memiliki rentang nilai 0-1 dengan cara membagi semua nilai pixelnya dengan 255.0\n-   Gambar memiliki dimensi `(1, 256, 256, 3)`\n\n#\n\n## Folder, file, dan kegunaannya\n\n-   static/\n    -   uploads/ --\u003e Berisi gambar yang diunggah untuk diprediksi.\n-   templates/\n    -   index.html --\u003e Berisi template website.\n-   app.py --\u003e Berisi konfigurasi route dan proses prediksi model untuk API.\n-   model.h5 --\u003e Model Image Classification ANN yang sudah di-training.\n-   requirements.txt --\u003e Berisi daftar dependency/package Python yang diperlukan untuk menjalankan API dan model Image Classification ANN.\n\n#\n\n## Cara menjalankan API pada komputer Anda\n\n1. Pastikan Anda sudah menginstall Anaconda.\n1. Buka terminal/command prompt/power shell.\n1. Buat virtual environment dengan\\\n   `conda create -n \u003cnama-environment\u003e python=3.9`\n1. Aktifkan virtual environment dengan\\\n   `conda activate \u003cnama-environment\u003e`\n1. Install semua dependency/package Python dengan\\\n   `pip install -r requirements.txt`\n1. Jalankan API menggunakan perintah\\\n   `python app.py`\n\n## Akses melalui Website\n\n1. Anda akan diberikan URL untuk membuka website berupa `localhost:5000/` atau `127.0.0.1:5000/`.\n1. Buka URL dengan browser, coba masukkan gambar kucing atau anjing yang ingin di prediksi.\n1. Anda akan diberikan prediksi bahwa pada gambar tersebut terdapat kucing atau anjing pada halaman website.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitsleonb%2Fcovid-19-ann","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fitsleonb%2Fcovid-19-ann","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitsleonb%2Fcovid-19-ann/lists"}