A space for my OpenGL projects. It starts with basic 2-d projects, such as the Sierpinski triangle, or building a convex hull around points using Graham’s scan algorithm, all the way up to implementing elastic sphere collisions in 3-d space.
Using CNNs to classify a retinal fundus image into normal or glaucomatous, using transfer learning.
A Reddit bot which gives COVID-19 stats of a specific region to Redditors based on their post title.
Semester 6: NAM Project. A recommender system using link prediction algorithms.
A space for my Blender models.
Image editing command-line with implementations of greyscale, Gaussian blurring, masking based on colour range (HSV), etc. from scratch using OpenCV, NumPy, Pillow and Matplotlib.
A multiplayer simulation of “Connect Four” by Hasbro using Python 3 socket programming.
PESU I/O: Simulates basic quantum gates such as the Hadamard gate or the Pauli-X gate on a system of two qubits.