Seamless AQI Monitoring: From Setup to Insights

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This project outlines a comprehensive setup for a data-driven application. It begins with organizing an efficient file structure and installing necessary tools including Jupyter Notebook. It incorporates API integration by setting up environments with API keys and configuring data pipelines. Automated tasks are executed using GitHub Actions while managing workflow permissions. The system architecture is designed with a flow from UI to API, then to ML Model and display, utilizing Streamlit for...