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https://github.com/zouraiz523/real-time-emotion-detector-with-voice-feedback
Real-Time Emotion Detector with Voice Feedback
https://github.com/zouraiz523/real-time-emotion-detector-with-voice-feedback
opencv python python-script python3 pythonai vscode
Last synced: 9 days ago
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Real-Time Emotion Detector with Voice Feedback
- Host: GitHub
- URL: https://github.com/zouraiz523/real-time-emotion-detector-with-voice-feedback
- Owner: zouraiz523
- Created: 2024-10-18T18:12:39.000Z (20 days ago)
- Default Branch: main
- Last Pushed: 2024-10-21T13:35:33.000Z (17 days ago)
- Last Synced: 2024-10-21T21:56:42.749Z (17 days ago)
- Topics: opencv, python, python-script, python3, pythonai, vscode
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Real-Time-Emotion-Detector-with-Voice-Feedback
This project is a real-time emotion detection system that captures emotions through your Webcam, recognizes various facial expressions (like happy, sad, angry, etc.), and speaks out the detected emotion using text-to-speech.
## Features
- Detects seven emotions: **happy, sad, angry, fear, surprise, disgust, and neutral**.
- Real-time webcam feed with bounding boxes around detected faces.
- Speaks the detected dominant emotion using the text-to-speech feature.
- Displays confidence levels for all emotions detected on screen.
## Demo
*example of detecting and speaking emotions in real-time.*
## Prerequisites
Make sure you have **Python 3.6+** installed on your system. You can download it from [python.org](https://www.python.org/).
### Libraries
You need the following Python libraries to run the project:
- `opencv-python`
- `fer`
- `pyttsx3`
- `tensorflow` (required for `fer`)
You can install these using `pip`:
```bash
pip install opencv-python fer pyttsx3 tensorflow
```
## How to Run
1. Clone this repository to your local machine:
```bash
git clone: https://github.com/zouraiz523/Real-Time-Emotion-Detector-with-Voice-Feedback.git
```
2. Navigate to the project directory:
```bash
cd real-time-emotion-detector
```
3. Run the Python script:
```bash
python emotion_detector.py
```
4. Allow access to your webcam, and the emotion detection will start in real-time!
## Usage
- The application will open a window displaying your webcam feed.
- It will recognize emotions in real-time and draw a bounding box around each detected face.
- The dominant emotion will be displayed above each face.
- The program will speak the detected emotion out loud.
- Press **'q'** to quit the program.
## Project Structure
```bash
.
├── emotion_detector.py # Main script to run the emotion detection
├── README.md # Project documentation
└── requirements.txt # List of required dependencies
```
## Potential Improvements
- Add support for more emotions by using advanced machine learning models.
- Improve speech by adding more voice options and customizing text-to-speech speed and tone.
- Integrate face recognition to map emotions to specific individuals.
## Contributing
Contributions are welcome! If you have any ideas or improvements, feel free to create a pull request. Please make sure your contributions are well-documented and tested.
1. Fork the project.
2. Create your feature branch: `git checkout -b feature/your-feature`.
3. Commit your changes: `git commit -m 'Add some feature'`.
4. Push to the branch: `git push origin feature/your-feature`.
5. Open a pull request.