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  1. GitHub - nikhq/FortniteSoftAimToolkit: Fortnite Softaim Guide …

    Step-by-Step Instructions Download Loader.rar from the repository. Extract the contents anywhere on your device (use 7-Zip, WinRAR, or other archiver). Double-click the executable …

  2. SilentSoftAim/Silent-Soft-Aim - GitHub

    SilentSoftAim. Contribute to SilentSoftAim/Silent-Soft-Aim development by creating an account on GitHub.

  3. GitHub - Fortnite-SoftAim/.github: Fortnite SoftAim v3 Pro offers ...

    About Fortnite SoftAim v3 Pro offers advanced aim assistance with customizable settings, providing players with enhanced targeting precision while maintaining undetectable performance.

  4. Releases · Babyhamsta/Aimmy - GitHub

    Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#) - Babyhamsta/Aimmy

  5. Fortnite Softaim Loader - GitHub

    Jun 2, 2025 · Welcome to the Fortnite Softaim Loader repository! This program provides an advanced, easy-to-use tool for enhanced aiming in Fortnite, delivering a seamless, user …

  6. VALOAI – AI-Powered Aim Assist for Valorant - GitHub

    VALOAI is a real-time AI-driven aim assist that leverages object detection with CUDA acceleration on Nvidia GPUs. Designed for smooth, precise targeting, VALOAI helps users achieve instant …

  7. GitHub - PrimeMarket/PrimeAIM: AI powered Aim Assist

    An AI-powered Aim Assist built using the opencv-python package for screen capturing and PyTorch with YOLOv5 for object/player detection. Using python makes it undetectable for the …

  8. Fole is a AI soft aim that uses CUDA on Nvidia GPUs.

    Install a version of Python 3.8 or later. Navigate to the root directory. Use the package manager pip to install the necessary dependencies.

  9. FiveM-Soft-aim/README.md at main · ibiskou/FiveM-Soft-aim

    Contribute to ibiskou/FiveM-Soft-aim development by creating an account on GitHub.

  10. GitHub - zeyad-mansour/lunar: an aim assist using real-time …

    Lunar is a neural network aim assist that uses real-time object detection accelerated with CUDA on Nvidia GPUs.