Interactive IoE Smart City Dashboard in Enhancing Urban Data Analysis

This study focuses on developing an Interactive Internet of Everything (IoE) Smart City Dashboard, designed using Python. This dashboard integrates data from various smart city parameters, such as the Air Quality Index, Internet Speed, Energy Consumption, and more, processed from sensor data across multiple cities. By employing tools like Pandas for data analysis, Matplotlib for interactive plotting, and Streamlit for creating an intuitive user interface, this project aims to enhance urban data analysis and stakeholder engagement. The study underscores the importance of interconnectedness in smart city parameters, facilitating the visualization of correlations and trends across different cities. This approach aids in making informed urban planning and management decisions, contributing to the evolution of smarter, more sustainable cities.