AutoSelfie: Python-Powered Smart Selfie Automation

Overview

This project is designed to automate the process of taking selfies and detecting faces and smiles using Python and OpenCV. The program utilizes Haar Cascade classifiers to detect human faces and smiles in real-time.

Features

• Face Detection: Detects human faces using haarcascade_frontalface_default.xml.
• Cat Face Detection: Detects cat faces using haarcascade_frontalcatface.xml.
• Smile Detection: Detects smiles using haarcascade_smile.xml.
• Selfie Capture: Captures a selfie using the Selfie.py script when a face and smile are detected.
• Sound Effect: Plays a camera click sound (camera_click.wav) when a selfie is captured.

Getting Started

Prerequisites

• Python 3.11: Ensure Python is installed on your system.
• Virtual Environment (optional but recommended): Set up a virtual environment to isolate project dependencies.
• OpenCV and Contrib Modules: Install OpenCV along with its contrib modules by running:

  pip install opencv-python opencv-contrib-python
  

Installation

Clone the repository:

git clone https://github.com/AmardeepSingh-06/AutoSelfie.git

Navigate to the project directory:
```bash
cd AutoSelfie

## Running the Project
To start the program, run the Selfie.py script:
```bash
python Selfie.py

This will activate your webcam and start detecting faces and smiles.
When both a face and a smile are detected, the program will capture a selfie.