{"id":20365915,"url":"https://github.com/akibahmed229/weatherforecasting","last_synced_at":"2026-04-12T23:55:35.732Z","repository":{"id":260142743,"uuid":"879911847","full_name":"akibahmed229/WeatherForecasting","owner":"akibahmed229","description":"Realtime Weather Forecasting using Machine Learning","archived":false,"fork":false,"pushed_at":"2024-11-05T08:12:21.000Z","size":19742,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-15T04:40:00.943Z","etag":null,"topics":["dijango","linear-regression","machine-learning","python","randomforestclassifier","randomforestregressor"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/akibahmed229.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":"2024-10-28T19:09:04.000Z","updated_at":"2024-11-05T08:13:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"ca8de43e-8c79-4245-97e6-214d3f4be5e9","html_url":"https://github.com/akibahmed229/WeatherForecasting","commit_stats":null,"previous_names":["akibahmed229/weatherforecasting"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akibahmed229%2FWeatherForecasting","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akibahmed229%2FWeatherForecasting/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akibahmed229%2FWeatherForecasting/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akibahmed229%2FWeatherForecasting/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/akibahmed229","download_url":"https://codeload.github.com/akibahmed229/WeatherForecasting/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241907632,"owners_count":20040502,"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":["dijango","linear-regression","machine-learning","python","randomforestclassifier","randomforestregressor"],"created_at":"2024-11-15T00:21:09.646Z","updated_at":"2026-04-12T23:55:30.677Z","avatar_url":"https://github.com/akibahmed229.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Weather Forecasting Project\n\nThis project leverages machine learning to predict weather patterns, including rain forecasts and future temperature/humidity predictions, and displays them via a Django web interface.\n\n![Project Preview](./data/showcase.png) \u003c!-- Adjust the path accordingly --\u003e\n\n## How to Run the Project\n\nYou can run the project using **Docker** or **Python**.\n\n### Option 1: Using Docker\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/akibahmed229/WeatherForecasting\n   ```\n2. Navigate to the project directory:\n   ```bash\n   cd WeatherForecasting\n   ```\n3. Build and run the Docker container:\n   ```bash\n   docker compose up\n   ```\n\n### Option 2: Using Python\n\n1. Set up a virtual environment:\n\n   ```bash\n   python -m venv ./venv\n   ```\n\n2. Activate the virtual environment:\n\n   - **Linux/macOS**:\n     ```bash\n     source ./venv/bin/activate\n     ```\n   - **Windows**:\n     ```bash\n     .\\venv\\Scripts\\activate\n     ```\n\n3. Install the required dependencies:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. Run the Django server:\n   ```bash\n   python manage.py runserver\n   ```\n\n### Access the Application\n\nOnce the server is running, you can access the application at:\n\n```\nhttp://localhost:8000\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakibahmed229%2Fweatherforecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakibahmed229%2Fweatherforecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakibahmed229%2Fweatherforecasting/lists"}