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Aimbot script for automatic aiming and optional shooting
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// ==UserScript==
// @name Advanced Aimbot Xbox Cloud Gaming
// @namespace https://www.xbox.com/en-US/play/launch/fortnite/BT5P2X999VH2
// @version 3.2
// @description Aimbot script for automatic aiming and optional shooting
// @author yeebus
// @match https://www.xbox.com/en-US/play/launch/fortnite/BT5P2X999VH2
// @grant none
// ==/UserScript==
// Import TensorFlow.js or ML5.js (include in your HTML file for object detection)
// Example: <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
// Configuration
const aimAssistConfig = {
sensitivity: 1.0, // Adjusts how quickly the aim snaps
detectionInterval: 100, // Milliseconds between detections
toggleKeys: ['4', 't'], // Keys to toggle aim assist
assistEnabled: false, // Start with aim assist off
};
// Track key presses for toggling
let keySequence = [];
document.addEventListener("keydown", (e) => {
keySequence.push(e.key.toLowerCase());
if (keySequence.slice(-2).join('') === aimAssistConfig.toggleKeys.join('')) {
aimAssistConfig.assistEnabled = !aimAssistConfig.assistEnabled;
console.log(`Aim assist ${aimAssistConfig.assistEnabled ? 'enabled' : 'disabled'}`);
keySequence = [];
}
});
// Capture game video feed
const videoElement = document.querySelector('video'); // Cloud gaming platforms often use <video>
if (!videoElement) {
console.error("Video element not found. Make sure you're running this on a cloud gaming page.");
}
// Create a canvas for processing the video
const canvas = document.createElement('canvas');
const context = canvas.getContext('2d');
document.body.appendChild(canvas); // Optional: Add canvas to the page for debugging
// Main detection loop
async function aimAssistLoop() {
if (aimAssistConfig.assistEnabled) {
// Draw the video frame to the canvas
canvas.width = videoElement.videoWidth;
canvas.height = videoElement.videoHeight;
context.drawImage(videoElement, 0, 0, canvas.width, canvas.height);
// Run object detection (placeholder - replace with your model or detection logic)
const targets = await detectTargets(canvas); // Implement detectTargets()
// Simulate aiming if targets are found
if (targets.length > 0) {
adjustAimToTarget(targets[0]); // Snap to the first detected target
}
}
setTimeout(aimAssistLoop, aimAssistConfig.detectionInterval);
}
// Object detection logic (example placeholder)
async function detectTargets(canvas) {
// Use a pre-trained TensorFlow.js or ML5.js model here
// Placeholder logic: Return a mock target in the center of the canvas
return [{ x: canvas.width / 2, y: canvas.height / 2 }];
}
// Adjust aim (simulate mouse movement)
function adjustAimToTarget(target) {
const mouseEvent = new MouseEvent('mousemove', {
clientX: target.x,
clientY: target.y,
});
document.dispatchEvent(mouseEvent);
console.log(`Aiming at target: ${target.x}, ${target.y}`);
}
// Start the aim assist loop
aimAssistLoop();