{"id":15555879,"url":"https://github.com/hugolgst/homeccenture","last_synced_at":"2025-03-29T03:12:41.811Z","repository":{"id":104952195,"uuid":"349437187","full_name":"hugolgst/homeccenture","owner":"hugolgst","description":"Homeccenture enlightens your home-office experience. Accenture STARTHack 2021 Winner project","archived":false,"fork":false,"pushed_at":"2021-03-21T07:17:45.000Z","size":12748,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-03T12:53:42.490Z","etag":null,"topics":["accenture","hackathon","home-office","machine-learning","office-experience","starthack"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hugolgst.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":"2021-03-19T13:43:20.000Z","updated_at":"2021-04-08T21:02:08.000Z","dependencies_parsed_at":"2023-07-25T00:30:46.687Z","dependency_job_id":null,"html_url":"https://github.com/hugolgst/homeccenture","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hugolgst%2Fhomeccenture","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hugolgst%2Fhomeccenture/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hugolgst%2Fhomeccenture/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hugolgst%2Fhomeccenture/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hugolgst","download_url":"https://codeload.github.com/hugolgst/homeccenture/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246131325,"owners_count":20728303,"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":["accenture","hackathon","home-office","machine-learning","office-experience","starthack"],"created_at":"2024-10-02T15:10:56.893Z","updated_at":"2025-03-29T03:12:41.801Z","avatar_url":"https://github.com/hugolgst.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e\n  \u003cbr\u003e\n  \u003cimg src=\"https://user-images.githubusercontent.com/15371828/111896644-6a790c00-8a1b-11eb-9176-b3efa2274f45.png\" alt=\"Olivia's character\" width=\"1000\"\u003e\n  \u003cbr\u003e\n\u003c/h1\u003e\n\n\u003cbr/\u003e\u003cbr/\u003e\n\n## Synopsis\nHomeccenture uses **machine learning** to enlightens your home-office experience by recommending activities.\n\nBeing a very intuitive application, it asks you very few questions in order to work. \n\nRight after answering these question, that's where machine learning takes place. The machine learning recommender system automatically recommends the users new activities from the Company-wise dataset based on their colleague's interactions.\n\nThe product would be **owned** by the companies who bought it. It would mean that the companies would have **full control** over their data.\nHomeccenture is fully open-source and keeps no trace other than in the server it is hosted.\nHomeccenture cares about privacy.\n\n\n\n## Technologies used\n- Machine learning model using PyTorch\n- Rest API with AioHTTP\n- Front-end with React.js\n\n\n## Getting started\nMake sure to have node and python both installed on the machine.\n\n### Frontend\n```bash\ncd frontend\nnpm i\nnpm start\n```\n\n### Backend\n```bash\ncd backend\npip install -r requirements.txt\npython server\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhugolgst%2Fhomeccenture","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhugolgst%2Fhomeccenture","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhugolgst%2Fhomeccenture/lists"}