🚀 Introduction

Imagine playing Temple Run without touching your phone or keyboard—just using your hand gestures! Sounds futuristic, right? Well, I made it possible using Computer Vision, OpenCV, and MediaPipe. In this article, I’ll take you through the journey of how I built Gesture Temple Run, where you control the game with simple hand movements.

If you love AI, gaming, and tech innovation, this will blow your mind! 🤯

🎮 The Idea Behind Gesture Temple Run

Traditional gaming controls have been the same for years—keyboards, controllers, and touchscreens. But what if we could make gaming more immersive by eliminating the need for physical controllers?

That’s where Gesture Temple Run comes in! By using real-time hand tracking, the game responds to your movements:
✅ Move left/right – Wave your hand
✅ Jump – Raise your hand
✅ Slide – Lower your hand

With this approach, the player gets a hands-free, next-level gaming experience!

🛠️ Tech Stack Used

To bring this vision to life, I used:
✅ Python – The brain of the project
✅ OpenCV – For image processing
✅ MediaPipe – To detect hand gestures
✅ PyAutoGUI – To control keyboard inputs based on gestures

The beauty of this project? No external hardware required! Just your webcam and a little AI magic. 🎩✨

🚀 How It Works (Behind the Scenes)

1️⃣ Hand Detection: MediaPipe detects your hand and tracks key points (fingertips, palm, etc.).
2️⃣ Gesture Recognition: Based on movement patterns, it identifies whether you're jumping, sliding, or turning.
3️⃣ Game Control: PyAutoGUI converts gestures into keyboard inputs, controlling the game as if you were pressing keys.

The result? A seamless and interactive gaming experience.

❤️ Loved This? Let’s Connect!

If this project amazed you, share your thoughts in the comments! Let’s build something revolutionary together. 🚀

Gesture Temple Run: Playing Temple Run Without Touch – Just Body Gestures!