TensorFlow, Llama3.2, Game, AI and coordinate systems
-The Game description
Developed an AI-powered game where players navigate a grid, avoiding intelligent bots. The bots use a custom-trained neural network to predict movement, creating dynamic and challenging gameplay. This project showcases the integration of machine learning with real-time game mechanics, demonstrating practical applications of AI in interactive entertainment
-The AI model creation description
Explore the power of machine learning in 3D space with this interactive direction prediction tool. This project showcases a neural network trained to predict the direction between two points in a 3D environment. Users can manually input coordinates or generate random points to test the AI's accuracy. The web-based interface provides a real-time 3D visualization, displaying both the predicted and actual directions, along with the angle difference between them.
Key features:
TensorFlow-based neural network for 3D direction prediction
Interactive 3D visualization using Three.js
Manual and random testing capabilities
Real-time angle difference calculation
Flask backend for seamless integration of ML model and web interface
This project demonstrates the practical application of machine learning in spatial reasoning and could have potential uses in robotics, navigation systems, and computer vision.
My intention when I started was to understand world models a bit better and there is no better way to understand that than to test it out.
Further I thought a game world would be a good way to test this out.
If you get it up and running I would like to know your thoughts.
I will be gone for awhile due to moving house hopefully some new interesting stuff soon.
https://github.com/eointolster/AIBOTS...