Project Description

• Built a traffic prediction system using Random Forest to classify traffic levels.

• Incorporated multiple real-world factors including weather conditions, cloud cover, and peak hours (time & day).

• Designed the system to capture realistic traffic patterns by combining environmental and temporal features.