// ==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
// @downloadURL 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();