Cancer Detector
For this project, I trained a CNN based on the UNET architecture on a database of labelled cancerous cell images. The goal was to predict cancer with >85% accuracy.
This is a conglomeration of various personal, class, or reaseach projects. Research projects often turn into papers so check out my publications page as well.
More project pages are to come:
For this project, I trained a CNN based on the UNET architecture on a database of labelled cancerous cell images. The goal was to predict cancer with >85% accuracy.
Trained an RNN on State of the Union Adresses to predict sentences given a few letters.
Modeling, simulation, control, estimation, and path planning for a fixed wing UAV. The final result of the project is a simulator built from scratch with implementations of IMU, pressure, and GPS sensors, Extended Kalman Filter and RRT path planning.
Our team used a combination of computer vision, controls, and reinforcement learning to autonomously navigate a mini city. Our car is capable of recognizing and responding to signs, stopping at rail road crossings, and staying on the road.