Emotion Detection using Deep Learning and OpenCV

Overview: This project aims to implement emotion detection using deep learning techniques and OpenCV. It analyzes facial expressions in images or videos to automatically recognize emotions such as happiness, sadness, anger, etc.

Features:

Utilizes deep learning models for accurate emotion recognition. Integrates OpenCV for efficient image and video processing. Supports real-time emotion detection. Easy to integrate with existing applications or systems. Provides high accuracy in emotion classification. Installation:

Clone the repository: bash Copy code git clone <repository_url> Install required dependencies: Copy code pip install -r requirements.txt Usage:

Run the main script: Copy code python emotion.py Provide input images or videos for emotion detection. View the detected emotions in the output. Contributing: Contributions are welcome! Feel free to submit bug reports, feature requests, or pull requests to help improve the project.

License: This project is licensed under the MIT License. See the LICENSE file for more details.