Driver Drowsiness Detection using ML

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+.DS_Store

MachineLearning Projects/Driver-Drowsiness-Detection/README.md

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+
+# Driver Drowsiness Detection
+
+A system that alarms the driver as soon as it detects that the driver is becoming drowsy to prevent any accidents.
+
+
+
+## Quick Start 🚀
+
+### Clone the Repository
+
+```sh
+git clone https://github.com/adityajai25/driver-drowsiness-detection.git
+```
+Then 
+
+```sh
+cd driver-drowsiness-detection
+```
+
+
+## Dataset
+
+We used a dataset downloaded from Kaggle.
+## Creating Virtual Environment
+
+Using a virtual environment isolates dependencies, manages library versions, keeps the global Python environment clean, and ensures consistent setups.
+
+### On Windows
+
+#### Creating a virtual environment:
+
+Open Command Prompt and navigate to the project directory
+
+```sh
+cd project/directory/
+
+```
+Create a Virtual Environment:
+```sh
+python -m venv env
+```
+To Activate the Virtual Environment:
+
+```sh
+.\env\Scripts\activate
+```
+
+### On mac/Linux
+
+#### Creating a virtual environment:
+Open terminal and navigate to the project directory
+
+```sh
+cd project/directory/
+
+```
+Create a Virtual Environment:
+```sh
+python -m venv env
+```
+To Activate the Virtual Environment:
+
+```sh
+source env/bin/activate
+```
+
+
+## Installing Required Packages
+
+Once the virtual environment is activated, install the required packages using the following commands:
+
+#### 1. Install pygame
+
+```sh
+pip install pygame==2.4.0
+```
+#### 2. Install openCV-Python
+
+```sh
+pip install opencv-python==4.6.0.66
+```
+#### 3. Install numpy
+
+```sh
+pip install numpy==1.23.0
+```
+#### 4. Install keras
+
+```sh
+pip install keras==2.12.0
+```
+#### 5. Install tensorflow
+
+```sh
+pip install tensorflow==2.13.0
+```
+
+
+## Execution
+After installing the packages required, the project can be executed using the following command.
+
+```sh
+python main.py 
+```
+
+This will initiate the application, and it may take a few moments to activate the webcam and begin detection.