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This project predicts traffic flow and congestion levels using machine learning techniques.
About
This project predicts traffic flow and congestion levels using machine learning techniques. It involves data preprocessing, feature engineering, and training models such as Linear Regression, Random Forest, and LSTMs for time series forecasting. The system analyzes factors like time, location, and weather to provide accurate traffic predictions .