// Feature to detect when we've completed the course function checkCourseCompletion() { const bestCar = getBestCar(); if (bestCar && bestCar.checkpointIndex === track.checkpoints.length) { // Launch a bunch of celebratory confetti! createConfetti(100, canvas.width/2, canvas.height/2); setTimeout(() => createConfetti(50, canvas.width/4, canvas.height/2), 300); setTimeout(() => createConfetti(50, 3*canvas.width/4, canvas.height/2), 600); // Show victory message const message = document.createElement('div'); message.style.position = 'absolute'; message.style.top = '50%'; message.style.left = '50%'; message.style.transform = 'translate(-50%, -50%)'; message.style.background = 'rgba(16, 185, 129, 0.9)'; message.style.color = 'white'; message.style.padding = '20px'; message.style.borderRadius = '10px'; message.style.fontSize = '24px'; message.style.fontWeight = 'bold'; message.style.boxShadow = '0 4px 6px rgba(0, 0, 0, 0.1)'; message.style.zIndex = '1000'; message.style.textAlign = 'center'; message.innerHTML = `
This simulation demonstrates how AI can learn to drive using genetic algorithms and neural networks. Cars must navigate randomly generated tracks without any prior knowledge of the environment.
Key Improvements: