JavaScript Meets Machine Learning: Creating Interactive Games

Most web games rely on keyboard or mouse input. But what if your game could respond to your body movements? That's what I explored by combining Vanilla JavaScript and Machine Learning.

The Vision

A "Dino Run" style game where the player jumps in real life to make the character jump in the game.

Implementation with TensorFlow.js

Using the PoseNet model, the camera tracks the user's "y-coordinate" of their nose or shoulders. When a significant upward movement is detected, the game triggers a jump event.

posenet.load().then(net => {
  const pose = await net.estimateSinglePose(video);
  if (pose.keypoints[0].position.y < threshold) {
    player.jump();
  }
});

Why JavaScript?

The beauty of using JS for ML is Accessibility. Anyone with a browser and a webcam can play the game without installing heavy software or Python environments.

Lessons Learned

1. Lighting matters: AI models struggle in low light.
2. Performance: Always run your ML logic in a requestAnimationFrame loop but optimize it to not block the main UI thread.

This project was a perfect example of how "Web Design Tips" (from my old portfolio) evolved into Technical Innovation.

Check out my Work Sample to see more!

Keywords: mahavishnu, webdevelopment, javascript gaming, machine learning web