Driver Drowsiness Detection Simulation

This project demonstrates AI-based real-time driver drowsiness detection using a simulation. It consists of two main parts:

• Frontend (React): A simulation that shows a pre-recorded road video to mimic a driving scenario. The driver's face is captured via the computer's webcam and sent to the backend for analysis.
• Backend (Flask): Processes the webcam images using a pre-trained AI model to detect

How to Run

1. Run the server:

   • Navigate to the /server folder and run python app.py.
   • Make sure the Flask server is running to process incoming API requests.

2. Run the client:

   • Navigate to the /client folder and run npm start (or yarn start).
   • This will start the React application, which simulates a driving environment and uses the webcam to capture the driver’s face.

Usage

• The client displays a road simulation video and captures the driver's face using the computer's webcam.
• The captured frames are sent to the Flask backend, which processes them using an AI model to detect drowsiness or yawning in real-time.