3820000000 kWh of wind energy produced in the UK goes to waste yearly.
We connect the excess supply of renewable energy with constant sources of demand to empower those who believe in a clean future
An app for anyone that desires better mental health
Belly good, wallet better
Enabling "Smart" Search for SDGs - Less is more
Music is key to powering a fun and effective workout. Our web application will create a personalized playlist with your favorite artists based on the intensity and type of workout of your choosing.
Our project combines DataCuse's information on road quality, and Google Cloud Platform's Map API, to determine the grade of roads along your commute. Take care of yourself, and your car!
An R shiny web-app to aid with visualising the analysis and visualisation of data from the millenium cohort study
We used a machine learning algorithm to predict demand drops in items' following holiday seasons, and then recommended those items to consumers through a POS system to get them off the shelves.
Log4j, Cybersecurity, Zero-day vulnerability, Machine Learning, Social Media, Open Source
spaheti is one of the greatest inventions of mandkinds
We examine two factors that are a concern for the environment: (1) C02 Emissions; and (2) Wildfires in California, and their correlation to one another.
Making REU applications a breeze. REyou makes finding NSF REU programs easier for YOU.
Identifying outbreaks of infectious diseases before they become endemic
We have created multiple programs in Python and R which allows us to visualize the wind speed and wind direction in a time series plot.
Our open source airport and COVID-19 datasets demonstrate both an incontrovertible decline in the travel industry at the dawn of the pandemic as well as a substantial recovery in the past months.
Analyzing the tourism industry under the impact of COVID-19.
Travel and tourism is one of the industries most heavily impacted by by Covid-19 . This project analyzes the success, decline and recovery of several airlines before and after the pandemic.
Examining the presence of racial discrimination in the approval of mortgage requests in Harris County, Texas.
We wanted to create a more fair and representative Houston.
Using the provided dataset of mortgage applications in Harris County, TX, our team visualized the data through bar graphs to compare the acceptance rates of applications based off of several factors.
In this project, we used an assortment of variables to determine the probability of an individual being accepted for a mortgage, and if accepted, the potential interest rate on their mortgage.
Our model predicts the acceptance of a given mortgage application. We are proud of successfully completing our first datathon.