README.md

🚗 Driver Drowsiness Detection using OpenCV & Dlib

A real-time computer vision system that monitors a driver's eye aspect ratio (EAR) to detect signs of drowsiness and alert them with a warning sound.

🧠 Tech Stack

• Python 3.x
• OpenCV
• Dlib
• SciPy
• playsound

🖼️ How It Works

• Uses facial landmarks to locate eyes
• Calculates Eye Aspect Ratio (EAR)
• Triggers an alert if eyes remain closed too long

📁 Dataset

• shape_predictor_68_face_landmarks.dat is required. Download it here and extract it in the project root.
• A sample video/image dataset can be placed inside the dataset/ folder for testing.

▶️ How to Run

1. Clone the repo
2. Install dependencies:

   pip install -r requirements.txt