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 headshots without modifying game files.
Unlike other aim assists, which charge €5/month or €100 for lifetime access without offering any real advantages, VALOAI is completely FREE! <3
⚠️ For educational purposes only. The developers are not responsible for any misuse.
☕ $5 for a coffee and a few more lines of code—thanks for helping me build something awesome!
Donate 💗
100% Free – No subscriptions, no hidden fees
Undetectable – No game memory modifications 🛡️
AI-Powered Accuracy – YOLOv5-based real-time detection 🎯
Hardware-Based Execution – Uses Arduino Leonardo + USB Host Shield 2.0 🔌
Optimized for Performance – CUDA-accelerated for fast, efficient processing 🚀
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- Minimum: RTX 2060
- Recommended: RTX 3050
- GOD MODE: RTX 4060 (Ultra-fast performance! – reduce time.sleep to 0.01 in the
.pyfile)
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Install Arduino Legacy IDE 1.8.19
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Install USB Host Shield 2.0 libraries
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Open
mouse/mouse.ino -
Modify these values to match your mouse X,Y and Scroll ID (values from 0-9):
buttons = buf[0]; xm = buf[1], ym = buf[2], scr = buf[3];
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Upload the script to your Arduino Leonardo and test until everything matches your mouse input
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Install Python 3.9.10 (recommended) or later
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Install CUDA 12.1
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Install PyTorch with CUDA 12.1 support:
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
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Navigate to
v/scripts/yolov5-master, open Command Prompt, and run:pip install -r requirements.txt
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Install additional dependencies:
pip install pyserial pip install pywin32 pip install keyboard pip install termcolor pip install scipy==1.12.0
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Open the script and update the serial COM port:
ard = serial.Serial("COM3", 9600, writeTimeout=0)
Replace
"COM3"with your Arduino's current COM port (e.g.,"COM4","COM5"). -
Optimize your settings for best accuracy:
- Set Windows mouse sensitivity to default (6/11)
- Set in-game sensitivity to 1.1 for 1:1 tracking
- Use Windowed Fullscreen mode for optimal performance
- Change enemy highlight color to purple
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Run the
.pyfile -
Press ALT to trigger instant aim assist
- Hardware-Based Detection – The anti-cheat system could flag Arduino Leonardo boards, but this is unlikely since it acts like a standard mouse.
- Manual Reports – If you receive too many reports, Riot may manually investigate and issue a ban. Use responsibly!
🛡️ VALOAI is currently undetected as it does not modify game files or memory. However, there are still potential risks:
This project is open-source, and contributions are welcome! Feel free to fork, improve, and submit pull requests.
This project is released under the GNU General Public License v3.0. See the LICENSE file for details.
🔥 VALOAI 🔥
Constant refinement and testing are in progress to deliver the fastest response times. If you’d like to support further development, feel free to Donate 💗.