A predicative model used to forecast MLB game attendance and help to assist with potential ticket tier pricing for the Atlanta Braves
The goal of the project is to easily understand which hospital/state in Venezuela requires urgent medical support. Using this information, NGOs contributions can have the highest impact.
Providing optimal pathing for first responders in wildfires using machine learning and IBM Watson
A realistic render of homes that allows for changing up interior spaces in VR. Options can include furniture type and placement, color schemes, appliances, styling, lighting, and more.
Understand how you can make a change.
Exploring the relationship between population and housing prices
A comprehensive marketing plan and analysis impacting the sourcing of books and housing for youth. "More Than Words Empowers Youth. Let Us Empower You."
Worrying about what to cook for your next meal? Enter ingredients, appliances and the amount of time, DinnerDash gives you your perfect meals. Find recipes to cook simultaneously for your loved ones!
An application that tracks and evaluates your diet, analyzing deficits and excesses of nutrients in your food choices.
Intercept an encrypted cipher and run Enigma to decrypt.
Preforming statistical analysis on NFL play-by-play data (R)
The Remedy to a Cleaner World
A System for Faster Disaster Emergency Response.
Don't know what your house might cost? Well we can predict it for you! Home for your dollar can tell you what your house might cost based on the features of not only your home, your neighbors' too!
Slouch no more
energy has been lost due to unequal access of information. By setting up a platform putting all information together, individual farmers can operate more sustainably.
Predictive maintenance models for a more sustainable farm
Look at all those complicated chemical formula. Like, what are they? Like, are they even real? If only there were an easy way to find out ...
A data Visualization tool for car crashing at Night
Invest in your safety and venture into the future!
In the wake of the devastating Australian bushfires, we created a real-time interface for multiple databases of pertinent information in emergencies and a system of immediate alerts..
We wanted to create an easy way to visualize accident information, to allow people to learn some interesting information, along with helping people avoid accidents.
Students may want to easily see how the average GPA for a class looks. We have created a website that allows students to predict the average class GPA of their section from grade distribution data.
We are using advanced visualizations along with machine learning to reduce the amount of delay that could be caused by traffic accidents. This would help statefarm warn its customers in advance.