Projects
Chest Cancer Classification
Developed a deep learning model utilizing convolutional neural networks (CNN) to classify chest cancer from medical images. This project involved leveraging modern machine learning tools such as MLflow for experiment tracking and DVC for dataset version control. The use of AWS S3 for scalable data storage and Lambda for real-time updates ensured efficient processing and continuous model improvements.
Pathfinder
This project is a Java-based grid-based pathfinding game that dynamically calculates the optimal path through a field of obstacles and passages. Designed using object-oriented principles, it applies recursion to solve a complex routing problem where users must navigate from one end of the grid to the other, maximizing points and avoiding obstacles.
