A more efficient way to get boarded onto planes
Use Texas data to predict and map at-risk tracts for inadequate nutrition.
Predict the likelihood of a divorce from a questionnaire dataset and to determine key factors that cuase a divorce. In this way, we are able to help struggling coulpes.
Have you ever wondered about the cost of Healthcare in America? Look no further, you can find out in 30 seconds with this one weird trick.
Social media data wrangling for social analysts
A way to waste time at your boring data entry job.
Increasing accessibility and efficiency in London's public transit system
A tool to get know better OpenAPI without any additional effort. Our tool is so flexible that it can present output from Devportal ApiCatalog APIs requests
In the last 10 years Ghana's market for pork has been on the increase. In pig farming the feed supply constitutes 70%. This project seeks to supply organic feed to farmers at a low cost.
Wondering about your next big purchase? This program is a financial advising app which helps individuals make educated decisions about their next big purchase.
This platform is a combination of student gradebook, lecture/submission portal, problem sets and Q&A/Discussion with an emphasis on a professor automated tag open to students categorized by topic.
IN-CITES, the tool to repair the environment
why are we still giving Jeff Bezos our coin?
One Step Towards A Healthier Lifestyle
Climate change has been exacerbated in the past decade. At Mount Holyoke College, we developed an App to increase people's carbon footprint awareness and help them to be more eco-friendly.
Connecting People To Do Things!
Helping Amazon customers make more sustainable purchasing decisions
Coda protocol dashboard for 2019 DeFi Hackathon
Golden Years: Your companion to a better future. Golden Years uses data gathered from the Social Security Administration to calculate your life expectancy and gives you personalized retirement advice.
Our idea is to provide customers with an easy way to express their questions and concerns regarding JetBlue Airlines. Using the data from this app, we create solutions to everyday problems.
Our self-sustaining model helps to understand "location preferences" of opening a taco/burrito restaurant in the United States of America.
The excel sheet determines the distance between two non-euclidean points on a globe and the travel time assuming 30 kmh.
Unbiased, unsupervised classification and ranking for tacos by treating all restaurants equally, giving small businesses better exposure.
Visualizing the Mason waste and energy data using a tool called Power bi which can help people to understand and analyze the data in more simpler way