Portfolio

Graduation Project: Deep Clustering for Artifact Analysis in AI-Generated Images

This is my graduation project, and I am still working on it. The project focuses on studying AI-generated images and analyzing small visual artifacts in them. The idea is to divide images into small patches and use clustering methods to better understand the differences between AI-generated images and real images. Through this project, I am learning more about image analysis, feature extraction, and clustering techniques.

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Deep clustering project image
Patch-level clustering analysis of AI-generated images.

Live Demo (Colab)

Course Project: Connect Four – Machine Learning

This project was completed as part of a machine learning course. The goal was to build a model that predicts the next move in the Connect Four game. The project involved representing the game board as input data and training a machine learning model to make predictions.

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Connect Four project image
Machine learning model predicting moves in Connect Four.

Live Demo (Colab)

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