Project Page

Content-Aware Image Size Reduction

Team project

Developed a content-aware image resizing application that preserves important features while reducing dimensions using the Seam Carving technique.
Implemented and compared Brute Force, Dynamic Programming, and Greedy approaches, analyzing and evaluating time/space complexity for each method.
Created pseudo-code and functional Python implementations of the algorithms.
Applied core image processing techniques, including energy map computation to determine pixel importance.

Team project

Developed and evaluated several machine learning models capable of accurately predicting the next best move in connect 4 game.
My role focused on developing CNN model capable of capturing strategic and positional patterns. The CNN model was built using the PyTorch framework, and was experimented with through several model architectures and training strategies.