Python&ML-Coursework-Year-1-and-Year-2

This repository contains my python and machine learning related coursework from year 1 and year 2 of my degree. The projects cover a range of topics, from computer vision and game AI to computer graphics and adaptive algorithms.

Year 2

Face Completion Model

• Description: Analyzed face data to evaluate the accuracy of different algorithms for matching faces.
• Key Technologies: OpenCV, facial recognition libraries (e.g., dlib)

Othello Game

• Description: Implemented a minimax algorithm with alpha-beta pruning to create a strategic computer opponent for the game Othello (Reversi).
• Key Technologies: Python, game AI principles

Solar System using Image Processing

• Description: Developed a visually engaging model of the solar system using computer graphics techniques. Incorporated image processing techniques like thresholding to enhance visual elements.
• Key Technologies: OpenCV, OpenGL (or similar), Python

Year 1

Python Maze Game with Tkinter

• Description: Created a single-player maze game using Python's Turtle and Tkinter libraries. The game features an adaptive algorithm that dynamically adjusts the difficulty based on the player's performance. Includes a scoring mechanism to track progress.
• Key Technologies: Python, Turtle, Tkinter

How to Run

Each project has its own specific requirements and instructions. Refer to the individual project folders for detailed instructions on how to run and interact with each application.

Additional Notes

• This coursework represents my learning journey in machine learning.
• Some projects may require additional dependencies or libraries.
• Feel free to explore, experiment, and learn from the code!

Contact

Chittesh Kumar Singore - chitteshkrsingore@gmail.com