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PrimeAIM - AI Gaming Tool

Overview

PrimeAIM is an AI-powered aim assist tool for shooter games that uses OpenCV for screen capture and PyTorch with YOLOv5 for object/player detection. It provides head/chest aiming, adjustable aim speed, configurable field-of-view (FOV), ESP overlays, and uses the Windows API for precise mouse control. Developed in Python and intended for educational purposes.

Key Features

  • Screen capture implemented with OpenCV
  • Player/object detection using PyTorch and YOLOv5
  • Head and chest aiming targets
  • Adjustable aim speed for smoothing
  • Customizable field-of-view (FOV) settings
  • ESP overlays to visualize detections
  • Precise mouse control via the Windows API
  • Implemented as a Python project for learning and prototyping

Ideal Use Cases

  • Learning computer vision with OpenCV and PyTorch
  • Prototyping aim-assist algorithms for research
  • Experimenting with YOLOv5-based real-time detection
  • Testing ESP overlay rendering techniques
  • Educational demonstrations of Windows API mouse control

Getting Started

  • Clone the repository from the provided GitHub URL
  • Install Python and project dependencies from requirements
  • Set up PyTorch and ensure YOLOv5 files are available
  • Configure detection and aiming parameters in config files
  • Run the main script to start screen capture and detection
  • Adjust aim speed, FOV, and overlay settings during testing

Pricing

Pricing not disclosed in the repository. Project source is hosted on GitHub.

Limitations

  • Designed for educational purposes and prototyping
  • Relies on Windows API for mouse control — Windows only
  • Requires familiarity with Python, OpenCV, PyTorch, and YOLOv5
  • May require manual configuration of model files and settings

Key Information

  • Category: Gaming
  • Type: AI Gaming Tool
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