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PrimeAIM - AI Gaming Tools 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 supports head/chest aiming, adjustable aim speed, customizable FOV and ESP overlays, and uses the Windows API for precise mouse control; the project is developed in Python for educational purposes.

Key Features

  • Real-time player detection using PyTorch and YOLOv5
  • Screen capture pipeline implemented with OpenCV
  • Head and chest aiming modes
  • Adjustable aim speed and sensitivity
  • Customizable field-of-view (FOV) and ESP overlays
  • Precise mouse control via Windows API
  • Python-based implementation for research and experimentation
  • Repository available on GitHub

Ideal Use Cases

  • Research and teaching projects on computer vision in games
  • Prototyping aim-assist algorithms using YOLOv5 detections
  • Demonstrating object detection in fast-paced gameplay scenarios
  • Building custom ESP overlays for visualization and analysis
  • Educational exploration of input automation and detection pipelines

Getting Started

  • Clone the PrimeAIM repository from GitHub
  • Install Python (3.x) and packages from requirements.txt
  • Add YOLOv5 model weights to the project's model directory
  • Configure aim settings (FOV, aim speed, target zones) in config
  • Run the main Python script to start detection and aiming
  • Test features in a controlled, offline environment for experimentation

Pricing

Not disclosed in the provided project metadata; no pricing information available.

Limitations

  • Windows required — leverages the Windows API for precise mouse control
  • Designed for educational purposes; not positioned as a commercial product

Key Information

  • Category: Gaming Tools
  • Type: AI Gaming Tools Tool
Visit Official Website

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