Slide Puzzlr

Slide Puzzlr is a project intended to demonstrate modular development capabilities, as well as the utilization of classes and functional programming. This classic game involves rearranging "tiles" or subsets of an image to restore the original scene. Featuring local highscores, scene randomization, tile movement animations, sounds, and a victory celebration, Slide Puzzlr goes a step beyond your typical end-of-semester project. Although I have not done a voiceover or code showcase of this project, you can watch a brief 2-minute video of the project in action on my YouTube channel here:

SlidePuzzlr (no voiceover): A PyGame implementation of a classic puzzle

MathMindset

Using Swift and XCode, Ritwik and I created a fun iOS app for practicing solving a variety of interesting math problems over the course of a semester. MathMindset seeks to make problem-solving fun with animations, progress scoring, retakable quizzes, and a small leaderboard. To see more, visit our short 10-minute demo here on YouTube.

ChessCharger

Motivated by enthusiasm for engine programming, I sought to develop my own chess engine after watching today's top chess engines compete in real time on popular websites. What captivated me the most was how far programmers have gone to analyze the game, and how chess engines have become so intelligent that they play in ways that no human player could anticipate. I am inviting you to observe the progress I've made on ChessCharger, which is summarized in these three 10-minute YouTube videos, where Part 3 is the latest version:

While ChessCharger is not yet an AI, I can tell you that the transition to being an AI can be relatively quick when done crudely. However, actually tuning the parameters that would guide the engine's analysis can be time-consuming because this requires simulating many games. This parameter-tuning process is reminiscent of supervised machine learning, and can be done with or without automation.