Projects

Here's a collection of projects I've worked on. Each represents an area of interest and exploration in my research and development journey.

Generating Severity-conditioned Knee Osteoarthritis X-rays Using Diffusion Neural Networks

A deep learning project focused on generating synthetic knee X-ray images with controlled osteoarthritis severity using diffusion models.

GitHub / Paper

Deep Multi-Agent RL for 3D reconstruction

A fun project comprising of drones using Reinforcement Learning (RL) to map an object in 3D space while working in coordination.

GitHub

Parallel Graph Search (A Case Study)

An in-depth analysis of common graph search algorithms such as Bellman-Ford, Dijkstra and A-star and their parallelized counterparts.

GitHub

Deep Neural Networks for Early Diagnosis of Parkinson's Disease

A project to design a deep neural network which is better at the diagnosis of Parkinson's on a crowd-sourced dataset.

GitHub

Signature Extraction from Documents using CNNs

Used the basics of Computer vision techniques in conjunction with Siamese Neural Networks to extract and verify signatures from documents.

GitHub