{"id":19584684,"url":"https://github.com/spacesick/tolong-project","last_synced_at":"2026-04-09T20:04:01.912Z","repository":{"id":171195939,"uuid":"647568687","full_name":"spacesick/tolong-project","owner":"spacesick","description":"A travel emergency app within the scope of Indonesia for Bangkit Academy 2023 capstone project.","archived":false,"fork":false,"pushed_at":"2023-07-04T07:37:32.000Z","size":61710,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-09T05:45:32.466Z","etag":null,"topics":["android","expressjs","flask","native","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/spacesick.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-05-31T04:06:25.000Z","updated_at":"2023-07-04T09:52:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"910ea1b3-6d8a-4927-9e42-28a2440c1b34","html_url":"https://github.com/spacesick/tolong-project","commit_stats":null,"previous_names":["spacesick/tolong-project"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/spacesick%2Ftolong-project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/spacesick%2Ftolong-project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/spacesick%2Ftolong-project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/spacesick%2Ftolong-project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/spacesick","download_url":"https://codeload.github.com/spacesick/tolong-project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240858536,"owners_count":19868997,"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","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":["android","expressjs","flask","native","tensorflow"],"created_at":"2024-11-11T07:49:22.288Z","updated_at":"2026-04-09T20:03:56.889Z","avatar_url":"https://github.com/spacesick.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# C23-PC725 Capstone Project\n\n## Members\n\n- (MD) A346DKX4282 - Fernandico Geovardo\n- (ML) M049DSX0588 - Dhuha Ardha Saputra\n- (ML) M181DSX3641 - Vincent Yovian\n- (CC) C368DSX2892 - I Ketut Teguh Wibawa Lessmana P. T.\n- (CC) C220DSY0626 - Audy Revi Nugraha\n- (CC) C303DKY3970 - Vanessa Evlin\n\n\n## Machine learning model\n\nWe create a deep neural network for classifying seven types of injuries that often happen in accidents.\n\n### Dataset info\n\nWe collected our Dataset various wound type from kaggle. We got 431 wound type image data in total and there is the distribution.\n\n- Abrasions: 85\n- Bruises: 122\n- Burns: 59\n- Cuts: 50\n- Ingrown Nails: 31\n- Lacerations: 61\n- Stab Wounds: 23\n\n### Architecture\n\nWe use the technique of transfer learning by adding multiple layers of fully connected networks on top of an InceptionV3 model pre-trained on the imagenet dataset. We freeze all the layers in the pre-trained InceptionV3 except for the last 12. We saved our best performing model in .h5 format and its weights in a .ckpt file, which so far has reached a validation accuracy of over 0.83 for the injury classification task and over 0.89 for the accident classification task. The dataset, latest checkpoints, and various model formats can be found [here](https://drive.google.com/drive/folders/1JRxoLPASzwMdFGjUG7gDhSLfg6zoRx-t?usp=sharing). Legacy versions of the model can be found [here](https://github.com/dhuhaardha/Model_Capstone).\n\n## Cloud computing and deployment\n\nhttps://github.com/vanessaevlin/tolong-capstone\n\n## Mobile app\n   \nhttps://github.com/fernandicogeo/mobile-tolong\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fspacesick%2Ftolong-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fspacesick%2Ftolong-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fspacesick%2Ftolong-project/lists"}