This project built under DataVision event in the technical fest , Avishkar at MNNIT , It identifies traffic congestion hotspots, peak hours, and optimized traffic signal timings and contibutes to improve overall traffic efficiency and reducing commuter stress
- NumPy: For numerical computing and array manipulation.
- Pandas: For data manipulation and analysis.
- Seaborn & Matplotlib: For data visualization.
- Scikit-learn: For building machine learning models.
- SQL: Writing queries, data extraction, and database management.
- Power BI: For creating impactful and interactive data visualizations.