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Travel Time Prediction System

This project predicts travel time using traffic data and machine learning.

Features

  • Distance (km)
  • Average Speed (km/h)
  • Time of Day
  • Traffic Density Level

Model

  • Random Forest Regressor

Evaluation Metrics

  • Mean Absolute Error (MAE)
  • R² Score

User Interface

  • Built using Streamlit
  • Allows real-time prediction

How to Run

Install dependencies:

pip install -r requirements.txt

About

predicts travel time using ML techniques based on distance and speed data, demonstrating practical applications of regression models in transportation systems.

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