Smart Traffic System

This project aims to create a smart traffic system using IoT sensors, AI models, and a web dashboard to monitor and manage traffic data.

Components

1. Backend: Flask application to manage traffic data.
2. IoT: Script to send traffic data from sensors.
3. Web Dashboard: HTML, CSS, and JavaScript to display live traffic data.
4. AI Model: YOLOv5 model to detect vehicles in a video.

Setup

1. Install dependencies:

   pip install -r backend/requirements.txt

2. Run the Flask application:

   python backend/app.py

3. Open index.html in a browser to view live traffic data.

4. Run the IoT sensor script:

   python iot/sensor_data.py

5. Run the traffic signal adjustment script:

   python backend/traffic_signal.py

6. Run the vehicle detection script:

   python ai_model/vehicle_detection.py