{"id":16412537,"url":"https://github.com/rshrc/sales-forecast-ml","last_synced_at":"2025-03-21T03:31:39.708Z","repository":{"id":34529246,"uuid":"145240072","full_name":"rshrc/sales-forecast-ml","owner":"rshrc","description":"Web app to predict sales of a new product :chart_with_upwards_trend:","archived":false,"fork":false,"pushed_at":"2024-02-07T19:17:34.000Z","size":4753,"stargazers_count":59,"open_issues_count":4,"forks_count":15,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-03-17T20:21:11.316Z","etag":null,"topics":["clustering","css","django","html","linear-regression","logistic-regression","machine-learning","material-design","prediction","python3","single-page-app","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Python","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/rshrc.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":"2018-08-18T17:35:54.000Z","updated_at":"2025-01-14T09:55:20.000Z","dependencies_parsed_at":"2024-11-01T16:30:52.535Z","dependency_job_id":null,"html_url":"https://github.com/rshrc/sales-forecast-ml","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/rshrc%2Fsales-forecast-ml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rshrc%2Fsales-forecast-ml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rshrc%2Fsales-forecast-ml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rshrc%2Fsales-forecast-ml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rshrc","download_url":"https://codeload.github.com/rshrc/sales-forecast-ml/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244733641,"owners_count":20501012,"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":["clustering","css","django","html","linear-regression","logistic-regression","machine-learning","material-design","prediction","python3","single-page-app","sklearn"],"created_at":"2024-10-11T06:49:13.182Z","updated_at":"2025-03-21T03:31:39.435Z","avatar_url":"https://github.com/rshrc.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sales Forecast using Machine Learning\n\n### A web application to predict the sales of a newly launched product\n#### Libraries Used : scikit-learn Web Framework User : Django\n##### Using the pickle library to load and use pre trained ml models.\n\n### How does it look like when you run it?\n#### Main Page\n![MainPage](https://i.imgur.com/mjIUd6T.png)\n\n#### Product Detail Input Page\n![ProductInput](https://i.imgur.com/OgrFdvj.png)\n\n#### Prediction Output Page\n![PredictionPage](https://i.imgur.com/ywBj5KY.png)\n\n\n### How to run sales_predit_ml on your Linux/Unix System ?\n\n##### Clone the repository and get inside sales_forecast_ml\n```\ngit clone https://github.com/rshrc/sales_forecast_ml \u0026\u0026 cd sales_predict_ml\n```\n\n##### Installing required Python3 libraries\n```\nsudo pip3 install -r requirements.txt\n```\n\n##### Make Migrations\n```\npython3 manage.py makemigrations predict \u0026\u0026 python3 manage.py migrate\n```\n\n##### Loading the server_predictor.py for later use\n```\npython3 ml_core/ml_process/server_predictor.py\n```\n\n##### Running the Server\n```\npython3 manage.py runserver\n```\n\nYou should now be able to access the sales_predict_ml web app in localhost:8000 in your browser\n\n### How to run sales_predit_ml on your Windows System ?\nInstall Linux or buy a Mac and revisit https://github.com/rshrc/sales_forecast_ml/README.md\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frshrc%2Fsales-forecast-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frshrc%2Fsales-forecast-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frshrc%2Fsales-forecast-ml/lists"}