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EDUMCP is a protocol that integrates the Model Context Protocol (MCP) with applications in the education field, dedicated to achieving seamless interconnection and interoperability among different AI models, educational applications, smart hardware, and teaching AGENTs.
This project is a hand-gesture-controlled Pong game using TensorFlow, OpenCV, and Pygame. It detects open hands via webcam in real time to control paddles, combining AI vision with interactive gameplay for a novel touchless experience.
Reverse Turing Test Game: Outsmart AI in a game of deception! Play as a human trying to blend in or as AI hunting the human. Engage in dynamic AI-powered interactions, strategic questioning, and voting. Compatible with Groq, OpenAI, and more. Can you fool the AI or will they expose you?
A text based adventure learning enviroment (in a game setting) for AI where the AI both is the main player and generates the content. The world map is intended to be a Linux system that the AI is running on.
An AI agent that learns to play Flappy Bird using the NEAT (NeuroEvolution of Augmenting Topologies) algorithm. This project uses Pygame for game rendering and NEAT Python for training the neural networks.
In this game, you control a jet trying to avoid enemy missiles using arrow keys. The enemies intelligently pursue your jet using A* pathfinding, making it challenging to evade them. Dodge the missiles for as long as possible to survive!