Smile Detection Selfie Project

This Python project leverages basic AI and ML techniques to create a smile detection selfie assistant, using OpenCV and Haar Cascade Classifiers. Users can automatically capture selfies when they smile.

Features

• Face Detection: Utilizes Haar Cascade Classifiers to detect faces in real-time.

• Smile Detection: Recognizes smiles within the detected faces and triggers a selfie capture.

• Automatic Selfie Capture: Saves a photo when a smile is detected.

Installation

• Clone the Git repository:

• Install the required dependencies:

• Ensure the Haar Cascade XML files are in the project directory:

-haarcascade_frontalface_default.xml

-haarcascade_frontalcatface.xml

-haarcascade_smile.xml

• Copy the “camera_click.wav” file to the project file directory.

Usage

• Ensure your webcam (internal or external) is connected and facing you.

• Ensure there are no obstacles concealing your face.

• Run the script: python smile_detection_selfie.py

• The program will automatically capture a selfie when it detects a smile.

Contributing

Contributions are welcome! I'll be working on adding more features, such as improving detection accuracy and enhancing the user interface.

Acknowledgements

• OpenCV • Haar Cascade Classifiers

About

A ML-based Python project made with the help of OpenCV and Haar Cascade Classifiers.

Topics

• Python

• OpenCV

• Smile Detection

• Haar Cascade

Resources

• Readme: This file

• Activity: Track the project progress