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min-max

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this project combines various AI algorithms to provide visualization and functionality for search algorithms, a game (CONNECT4) using min-max algorithms, and a Constraint Satisfaction Problem (CSP) solver. This toolbox aims to provide a comprehensive understanding of these AI techniques through interactive visualizations and practical examples.

  • Updated Jun 1, 2023
  • Python

This is a modified version of the classic checkers game created for academic purposes as a project for the AI Laboratory. The game introduces unique features, including vertical piece movements , special power pieces such as archers, king, and hero. The AI is implemented using the Min-Max algorithm with a depth level of 3 for strategic gameplay.

  • Updated Jan 6, 2024
  • Python

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

  • Updated Nov 6, 2018
  • Python

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