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It leverages various weather parameters to offer users a detailed and accurate forecast.\n\n## Screenshot\nBelow is a screenshot of the Weather Forecast App with marked features:\n\n\u003cimg src=\"https://github.com/atharva-narkhede/Weather-Forecast-Python/assets/106006803/457b0505-55a0-4a25-8c4f-7bf6304465d3\" alt=\"Weather Forecast App Screenshot\" width=\"600\" /\u003e\n\n## Features\n1. **Temperature:** Current temperature of the location.\n2. **Description:** General weather description (e.g., sunny, cloudy).\n3. **Wind Speed:** Wind speed in the specified area.\n4. **Humidity:** Current humidity level.\n5. **Pressure:** Atmospheric pressure.\n6. **Visibility:** Visibility level.\n7. **UV Index:** UV radiation level.\n8. **Clouds:** Cloud coverage percentage.\n9. **Dew Point:** Temperature at which dew forms.\n10. **Date and Day:** Current date and day of the location.\n11. **Time Zone, Longitude, and Latitude:** Geographic details of the location.\n12. **7-Day Weather Predictions:** Day and night temperature forecasts for the next 7 days.\n\n## Installation\nTo use the Weather Forecast App, follow these steps:\n\n### Prerequisites\nEnsure you have the following installed:\n- Python 3.x\n- pip (Python package installer)\n\n### Packages\nInstall the required packages using the following commands:\n```bash\npip install tk\npip install geopy\npip install timezonefinder\npip install datetime\npip install requests\npip install pytz\n```\n\n### Download\n[Download the Weather App](https://github.com/atharva-narkhede/Weather-Forecast-Python/archive/refs/heads/main.zip)\n\n### Running the App\n1. **Download and Extract**: Download and extract the zip file.\n2. **Run the Application**: Open the extracted folder and locate the file named `weather_app.py`. Right-click on the file and select \"Open with Python\".\n\n## Note\nEnsure to manually correct the image file path in the code. Update the path to match the actual location of your image files. For example:\n\n## Usage\n1. **Open the Application**: Launch the Weather Forecast App.\n2. **Search for a Location**: Enter the name of the place in the search box and press enter or click the search button.\n3. **View Weather Details**: The app will display the weather details for the specified location.\n\n## Methodology\n1. **User Input**: The user inputs the name of the place.\n2. **Timezone Detection**: The app finds the timezone of the place using the `timezonefinder` package.\n3. **Current Time Retrieval**: The app retrieves the current time of the place.\n4. **API Call**: The app makes an API call to get weather data based on the latitude and longitude.\n5. **Data Extraction**: The app extracts weather details from the JSON response.\n6. **Icon Display**: The app uses the extracted data to display appropriate weather icons.\n7. **Display Weather Report**: The app displays the complete weather report on the screen.\n\n## Future Work\n1. **Improved GUI**: Enhance the graphical user interface.\n2. **Faster API Response**: Reduce the time required by the API to respond.\n3. **Additional Features**: Add options such as graphs, daily alerts, desktop notifications, and current weather at the user's location.\n\n## License\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatharva-narkhede%2Fweather-forecast-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fatharva-narkhede%2Fweather-forecast-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatharva-narkhede%2Fweather-forecast-python/lists"}