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1. Tic-Tac-Toe Pro: Unbeatable AI Editi... Tic-Tac-Toe Pro: Unbeatable AI Edition is a Python-based implementation of the classic strategy game that features a sophisticated computer opponent powered by the Minimax algorithm. Designed as a challenging single-player experience, the application utilizes object-oriented programming to manage game states and provide a clean, interactive command-line interface. By recursively analyzing every possible move sequence to determine the optimal outcome, the AI is mathematically designed to be unbeatable, ensuring that the human player must play perfectly just to secure a draw. The project serves as an excellent demonstration of recursive logic, state-space searching, and robust input handling within a terminal environment.

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   import math

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   import random

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   class TicTacToe:

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       def __init__(self):

2. End-To-End Encryption principles are... End-To-End Encryption principles are applied in this Python utility through a Multi-Iterative Salted Caesar Cipher that utilizes recursive layers and secret-key verification. By combining user-defined salt offsets with iterative transformations, the tool provides a sophisticated method for text obfuscation and cryptographic study.

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   # ---------------------------------------------------------

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   # EXECUTION / INPUT HANDLING

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   # ---------------------------------------------------------

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   def main():

3. Email-Spam-Detection-Classifier Email-Spam-Detection-Classifier Public archive

   End-to-end Email Spam Detection system using Machine Learning and NLP, featuring TF-IDF, Logistic Regression, threshold optimization, and a FastAPI-based real-time inference API.

   Jupyter Notebook 5

4. House-Price-Prediction-Model House-Price-Prediction-Model Public archive

   An end-to-end regression project trained on the Boston Housing dataset, featuring data analysis, Random Forest modeling, model evaluation, and real-time prediction through a REST API built with Fas…

   Jupyter Notebook 5

5. Student-Performance-Prediction Student-Performance-Prediction Public archive

   Production-ready machine learning system to predict student final grades using structured data, sklearn pipelines, and FastAPI deployment.

   Jupyter Notebook 1

6. AI-Assistant AI-Assistant Public archive

   A full-stack intelligent agent powered by Machine Learning, featuring a FastAPI backend and a responsive Next.js frontend. Built with Python, TypeScript, and high-performance data libraries.

   Python 1