{"id":49394767,"url":"https://github.com/ashref-dev/node-red-predict","last_synced_at":"2026-04-28T15:03:24.260Z","repository":{"id":210060452,"uuid":"725626217","full_name":"Ashref-dev/node-red-predict","owner":"Ashref-dev","description":"Node-RED IoT Temperature Prediction Project ","archived":false,"fork":false,"pushed_at":"2023-11-30T14:53:33.000Z","size":110,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-03-25T01:29:52.257Z","etag":null,"topics":["javascript","machine-learning","node-red"],"latest_commit_sha":null,"homepage":"","language":null,"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/Ashref-dev.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}},"created_at":"2023-11-30T14:40:11.000Z","updated_at":"2024-03-25T00:27:03.000Z","dependencies_parsed_at":"2023-11-30T15:54:15.782Z","dependency_job_id":null,"html_url":"https://github.com/Ashref-dev/node-red-predict","commit_stats":null,"previous_names":["black-spear/node-red-predict","ashref-dev/node-red-predict"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Ashref-dev/node-red-predict","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashref-dev%2Fnode-red-predict","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashref-dev%2Fnode-red-predict/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashref-dev%2Fnode-red-predict/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashref-dev%2Fnode-red-predict/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ashref-dev","download_url":"https://codeload.github.com/Ashref-dev/node-red-predict/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashref-dev%2Fnode-red-predict/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32385943,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["javascript","machine-learning","node-red"],"created_at":"2026-04-28T15:02:57.662Z","updated_at":"2026-04-28T15:03:24.254Z","avatar_url":"https://github.com/Ashref-dev.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Node-RED IoT Temperature Prediction Project\n\nWelcome to my Node-RED IoT Temperature Prediction Project repository! 🌐\n\n\u003cimg src=\"chart.png\" alt=\"Node-RED IoT dashboard\" width=\"90%\" \u003e\n\n## About\n\nThe Node-RED IoT Temperature Prediction Project is an innovative solution for predicting temperatures based on time-series data. Leveraging Node-RED, this project takes a CSV input of time and temperature, performs regression analysis, and predicts the temperature for the next minute. The results are visualized in a chart on the Node-RED dashboard.\n\n## Features\n\n- **CSV Input Processing:** Upload a CSV file containing time and temperature data to initiate the prediction process.\n- **Regression Analysis:** Utilizes machine learning algorithms to perform regression on the input data for temperature prediction.\n- **Real-time Visualization:** The predicted temperatures are dynamically displayed in a chart on the Node-RED dashboard.\n- **User-friendly Interface:** Built with Node-RED, ensuring an intuitive and user-friendly experience for configuring and visualizing predictions.\n\n\u003cimg src=\"flow.png\" alt=\"Node-RED flow\" width=\"90%\" \u003e\n\n## How to Use\n\nUsing the Node-RED IoT Temperature Prediction Project is straightforward:\n\n1. Install Node-RED on your system if you haven't already. [Node-RED Installation Guide](https://nodered.org/docs/getting-started/installation)\n2. Clone or download this project repository to your local machine.\n3. Import the Node-RED flow from the provided JSON file (`iot_temp_regression.json`) into your Node-RED instance.\n4. Deploy the Node-RED flow and open the Node-RED dashboard.\n5. Choose a CSV file with time and temperature data using the designated file node, or any other input series.\n6. Witness real-time temperature predictions displayed on the dashboard chart.\n\n## Contribution\n\nWe encourage contributions to enhance the Node-RED IoT Temperature Prediction Project! Here's how you can get involved:\n\n- Fork the repository and make your desired changes.\n- Submit a pull request with a detailed explanation of the enhancements you've made.\n- Engage in discussions with other contributors to exchange ideas and collaborate on future improvements.\n\n### Technologies Used\n\n- [Node-RED](https://nodered.org/): A flow-based development tool for visual programming.\n\nI appreciate your support. Happy coding! 📈🌐\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashref-dev%2Fnode-red-predict","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashref-dev%2Fnode-red-predict","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashref-dev%2Fnode-red-predict/lists"}