Real-Time Emotion Recognition System

📜 Description:

Developed a Real-Time Emotion Recognition System using Deepface. The system can detect and recognize Emotions in a Real-Time streaming video or through a live webcam and display the results in the screen.

📽 Sample Demo:

Emotion.Recognition.Demo.Made.with.Clipchamp.1.mp4

🏗 Built With:

• Open CV.
• Deepface.
• Python 3.
• PyCharm.

🧪 Steps to Build locally:

• Install DeepFace:

pip install deepface

• Install OpenCV:

pip3 install opencv-python

• Run the Script, type:

python emotion.py

💥 How to Contribute?

• Take a look at the Existing Issues or create your own Issues!
• Wait for the Issue to be assigned to you after which you can start working on it.
• Fork the Repo and create a Branch for any Issue that you are working upon.
• Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it.
• Add Screenshots to help me know what this Code is all about.

👦 Developed By:

Akash Ramjyothi

               ☎️ PH:+91 8939928002.

🌐 References Used:

• https://www.youtube.com/watch?v=fkgpvkqcoJc
• https://www.youtube.com/watch?v=avv9GQ3b6Qg
• https://www.youtube.com/watch?v=Bb4Wvl57LIk
• https://www.youtube.com/watch?v=PulKlAZRoAY