I'm a final-year Computer Science student. I have a strong interest in applying machine learning and software engineering to solve practical problems.
- DeepSeek-Instagram Automation Bot: A complete Python system that integrates multiple APIs to automate social media workflows. Focused on clean architecture and thorough documentation. ★ 1
- PixelStudio Pixel Art Editor: A complete C++ system that integrates SFML and ImGui for real-time pixel art creation and editing. Focused on clean architecture and responsive design.
- Algorithmic Art (Grid Spiral Pattern): A complete Python system that integrates mathematical principles with the Pygame library to algorithmically generate geometric spiral art. Focused on clean procedural generation and robust OOP architecture.
- CNN Image Classifier (PyTorch, CIFAR-100): Built and trained a deep CNN (VGG-style blocks with BatchNorm + Dropout) on CIFAR-100, with a full pipeline dataset mean/std computation, data augmentation, train/val split, and MultiStepLR scheduling.
- Canny Edge Detection (Reimplementation): Rebuilt the Canny edge detector from scratch using NumPy/OpenCV primitives, including Gaussian blur, Sobel gradients, non-maximum suppression, double thresholding, and hysteresis. Added side-by-side visual comparisons against OpenCV’s Canny and a quantitative edge-count comparison metric.
I am actively deepening my practical skills in core AI domains relevant to modern applications:
- Computer Vision with PyTorch: Experimenting with image preprocessing, augmentation, and convolutional neural networks (CNNs) to build a strong foundation in visual recognition tasks.
