Capture Smiling Face😊

Overview

This project is a real-time face detection application that captures and saves an image when a smiling face is detected. The system utilizes OpenCV and MediaPipe for facial recognition and TensorFlow Lite for optimized inference.

Features

• Detects faces in real-time using OpenCV and MediaPipe
• Identifies when a person is smiling
• Automatically captures and saves the image upon detecting a smile
• Saves captured images in a designated folder

Requirements

Ensure you have the following dependencies installed:

pip install -r requirements.txt

Dependencies:

• OpenCV (cv2)
• MediaPipe
• NumPy
• TensorFlow Lite

Installation

1. Clone this repository:

   git clone https://github.com/your-username/capture-smiling-face.git

2. Navigate to the project directory:

   cd capture-smiling-face

3. Install dependencies:

   pip install -r requirements.txt

4. Run the script:

   python capture_smiling_face.py

How It Works

1. The camera opens and detects a face in real-time.
2. The system analyzes facial landmarks to check for a smile.
3. Once a smile is detected, it captures and saves the image automatically.
4. The captured image is stored in the project folder (Capture Smiling Face).

Saving Location

Captured images are saved in:

C:\Users\Vaishnavi\Desktop\Capture Smiling Face

To change this location, modify the save path in capture_smiling_face.py.

Contributing

If you would like to contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-branch.
3. Commit your changes: git commit -m 'Add new feature'.
4. Push to the branch: git push origin feature-branch.
5. Open a Pull Request.

License

This project is open-source and available under the MIT License.

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Author: Vaishnavi Jevale

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