{"id":22937670,"url":"https://github.com/sundanc/weatherprediction","last_synced_at":"2026-04-18T04:32:53.607Z","repository":{"id":265409346,"uuid":"895932582","full_name":"sundanc/weatherprediction","owner":"sundanc","description":"This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month","archived":false,"fork":false,"pushed_at":"2024-12-13T12:58:07.000Z","size":180,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-01T19:32:47.926Z","etag":null,"topics":["machine-learning","machinelearning","numpy","pandas","programming","python","scikit-learn","scikitlearn-machine-learning","weather-prediction"],"latest_commit_sha":null,"homepage":"","language":"Python","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/sundanc.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2024-11-29T08:00:03.000Z","updated_at":"2024-12-13T12:58:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"57d5ffbe-0776-4126-8386-fe470e8fdf33","html_url":"https://github.com/sundanc/weatherprediction","commit_stats":null,"previous_names":["sundanc/weatherprediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sundanc/weatherprediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sundanc%2Fweatherprediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sundanc%2Fweatherprediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sundanc%2Fweatherprediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sundanc%2Fweatherprediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sundanc","download_url":"https://codeload.github.com/sundanc/weatherprediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sundanc%2Fweatherprediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31956952,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"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":["machine-learning","machinelearning","numpy","pandas","programming","python","scikit-learn","scikitlearn-machine-learning","weather-prediction"],"created_at":"2024-12-14T12:13:58.583Z","updated_at":"2026-04-18T04:32:53.559Z","avatar_url":"https://github.com/sundanc.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Weather Prediction App\n\nThis project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month). It uses a pre-trained machine learning model (SGD Regressor) to predict the temperature and compares the predicted temperature with the actual temperature fetched from a public weather API (OpenWeatherMap).\n\n## Features\n\n- Fetch real-time weather data for a specific city.\n- Predict the temperature using a pre-trained machine learning model.\n\n![image](https://github.com/user-attachments/assets/4ad38c0a-042c-4c06-91c1-f4206803f6d5)\n\n\n- Display actual vs predicted temperatures using a line chart.\n- Show model performance metrics (Mean Absolute Error, Mean Squared Error).\n\n![image](https://github.com/user-attachments/assets/802afd49-d338-4f9d-b4d9-4af6713a29a2)\n\n  \n- Interactive user interface using Streamlit.\n\n## Requirements\n\n- Python 3.8+\n- `pandas`\n- `streamlit`\n- `requests`\n- `scikit-learn`\n- `joblib`\n\nYou can install the required dependencies using the following command:\n\n```bash\npip install -r requirements.txt\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsundanc%2Fweatherprediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsundanc%2Fweatherprediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsundanc%2Fweatherprediction/lists"}