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Summary
Add: Real-Time Traffic Update using GPS & Machine Learning
A Python program that predicts traffic congestion in real time using a Random Forest classifier trained on GPS and speed data.
What it does:
Generates historical GPS traffic data with realistic rush-hour patterns
Trains a Random Forest model to classify congestion as LOW / MODERATE / HIGH
Runs a live terminal feed — simulates GPS readings every 2 seconds and predicts congestion on the fly