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Emotion Detector Application

Overview The Emotion Detector application is a Python-based project utilizing Machine Learning to analyze and detect emotions in images. This project employs the TensorFlow and OpenCV (cv2) modules to deliver an intuitive graphical user interface (GUI) for emotion recognition.

Installation Follow these steps to install and run the Emotion Detector application:

  1. Clone or Download Clone the repository. Alternatively, download the ZIP file and extract its contents.

  2. Install Dependencies Ensure you have Python installed on your system. Install the required modules using pip: pip install tensorflow pip install opencv-python

  3. Run the Application Navigate to the project directory. Execute the GUI file to launch the Emotion Detector application

Usage Upon successfully running the application, the GUI will provide a user-friendly interface for uploading images and analyzing the emotions detected within them.

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A Python application to detect Facial Emotions using Machine Learning

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