My project aims to provide a comprehensive analysis of traffic patterns in New York City using Python. By leveraging various data visualization libraries and real-time traffic data sources, the project will illustrate traffic density, congestion trends, and peak hours across different boroughs of NYC. Utilizing Python's powerful data processing capabilities, the project will employ tools such as Pandas for data manipulation, Matplotlib and Seaborn for plotting, and Folium for interactive maps. This analysis will not only highlight current traffic conditions but also offer insights into potential improvements and forecasting future traffic scenarios, ultimately contributing to more efficient urban planning and better traffic management strategies.