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2 Wᴏʀʟᴅ Rᴇᴄᴏʀᴅs Sᴇᴛᴛᴇʀ. Pʀᴏᴍɪsɪɴɢ Sᴄʜᴏʟᴀʀ & Pʀᴏᴠᴏsᴛ Sᴄʜᴏʟᴀʀ ᴀᴛ Gᴇᴏʀɢɪᴀ Tᴇᴄʜ.
In this project, I create two bar charts on the same web page. The bar charts show the total coffee sales for a chain of coffee shops.
Humor meets computer vision. This is a prototype of a device to wake up lazy bones.
An enormous problem within retail stores is the friction in the process of customer service.
In this project, the robot will be tasked with automating a warehouse. It will have to collect cubes from the pickup zone & deliver them to the storage zone avoiding the fragile obstacles in the way.
For this project, my partner and I created a geospatial visualization to view airplane incidents.
In this project, my team and I in our Computing for Data Analytics (Machine Learning) course developed an algorithm that generates unbiased United States voting districts.
The objective of this project is to implement and test path planning capabilities for Cozmo, specifically the RRT algorithm.
A multilayer perceptron is a class of feedforward artificial neural network.
In this project, I build a visualization that utilizes multiple coordinated views using brushing and linking.
An application system that stores information about the Atlanta BeltLine sites and events.
A path network is a set of path nodes and edges that facilitates obstacle avoidance.
One use of AI in games is to perform path planning, the search for a sequence of movements through the virtual environment that gets an agent from 1 location to another w/o running into obstacles.
In this project, I use what I learned about optimizers to optimize a portfolio. I will find how much of a portfolio's funds should be allocated to each stock so as to optimize its performance.
A navigation mesh is a means to automatically identify points at which to place path nodes.
The purpose of this project is to help provide some initial feel for risk, probability and "betting." Purchasing a stock is, after all, a bet that the stock will increase in value.
I implement and evaluate three learning algorithms as Python classes: A "classic" Decision Tree learner, a Random Tree learner, and a Bootstrap Aggregating learner.
This project is a problem of dynamic obstacles.
A Multiplayer Online Battle Arena (MOBA) is a form of Real-Time Strategy game in which the player controls a powerful agent called the "Hero" in a world populated with "Minions."
In this project, I create a market simulator that accepts trading orders and keeps track of a portfolio's value over time and then assesses the performance of that portfolio.
Procedural content generation is the use of algorithms (procedures) to create novel, and sometimes customized, game content from scratch.
In this project, I implement the decision-making for Hero agents.
For this project, I generate data that I believe will work better for one learner than another.
In this project, I develop a trading strategy using my intuition and Technical Analysis and test it against a stock using my market simulator.
Computer games are used to benchmark our progress on artificial intelligence.
