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#-Ai-ESP-Aimbot-iOS An experimental and educational iOS project demonstrating how to combine AI-based computer vision with iOS technologies using Objective-C++, Core ML, and Vision. The project uses a Core ML model to analyze visual frames and detect objects within an image. The detection results are then converted into screen coordinates and rendered visually through a UIKit overlay using CAShapeLayer. ## How It Works 1. Loads a compiled Core ML model from .mlmodelc. 2. Converts the model into a VNCoreMLModel. 3. Captures a visual frame from the application interface. 4. Processes the image through Vision Framework. 5. Reads the model output using MLMultiArray. 6. Parses detection coordinates and confidence values. 7. Converts coordinates from the model's 640×640 coordinate space to screen coordinates. 8. Renders detection results using CAShapeLayer. 9. Demonstrates low-level touch event handling through the IOHID Event System.

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