Smart City Data Challenge: Solving Urban Chaos with Data

The Smart City Data Challenge project uses data analytics to solve urban problems and make cities more sustainable. It collects real-time data from weather, traffic, and air quality sources to understand how these factors interact. Using Python tools like Pandas, Matplotlib, and Plotly, the project cleans, analyzes, and visualizes large datasets. The dashboards created show patterns such as how traffic congestion increases pollution levels. Insights from the data help in managing traffic flow an