🎭 Emotion-Controlled Video Playback

Control video playback using your facial expressions. This system detects your mood through the webcam and adjusts the playback speed of a video accordingly—speed up, slow down, or pause—all without lifting a finger.

---

🚀 How It Works

1. 🎥 Video Playback

   • Uses VLC’s Python bindings (python-vlc) for reliable and responsive video playback.
   • Playback speed can be dynamically adjusted (fast-forward, slow-mo, pause).

2. 🧠 Face Detection

   • Utilizes OpenCV’s Haar Cascade classifier to detect faces in real-time from webcam input.

3. 😐 Emotion Analysis

   • Leverages DeepFace to analyze detected faces and classify emotions (e.g., happy, sad, angry, neutral, etc.).

4. ⚙️ Action Triggering

   • When a consistent emotion is detected over a few frames:
     • 😄 Happy → Speed up
     • 😐 Neutral → Normal speed
     • 😞 Sad → Slow down
     • 😠 Angry → Pause the video

5. 📊 UI Feedback

   • Real-time on-screen display showing:
     • Your current emotion
     • Current video speed

---

📦 Requirements

• Python 3.7 or above
• opencv-python
• python-vlc
• deepface
• numpy

Install all dependencies using:

pip install opencv-python python-vlc deepface numpy

---

▶️ How to Run

1. Clone the repository.
2. Make sure your webcam is connected.
3. Update the path to the video file in the script if needed.
4. Run:

python slayback.py --video path/to/your/video.mp4

---

🧠 Use Cases

• Accessibility for motor-impaired users
• Emotion-aware learning platforms
• Mood-reactive art installations
• Personalized media experiences

---

🔮 Future Ideas

• Add voice command fallback
• Support YouTube or streaming platforms
• Add sensitivity settings for emotion detection
• Custom mappings of emotions to actions

---

📸 Demo

Coming soon...

---

🤖 Built with curiosity, caffeine, and a face full of expressions.