A simple green app which determines an item's recyclability by image capture
The first ever easy to understand data visualization of the Covid-19 pandemic!
Frustrated with the struggles of health data integration? With this new application you can seamlessly integrate your personal fitness data into your healthcare conversations and explorations.
This report provides an analysis and visualizations regarding the correlation between geographic, demographic, social, and political trends and COVID-19 cases and deaths.
We have designed, conducted, and analyzed a survey examining specific privacy concerns related to this boundary collapse during COVID-19.
A web application to help people evaluate whether or not reproductive health information they find online is credible using a website analysis tool and visualizations.
91% accurate COVID-19 risk factor prediction based on user's demographics
Burning your old electronics sounds fun, but actually creates a great public health risk by releasing toxic fumes. Learn where you can safely dispose of your TVs to improve your community's health.
A data driven approach to personalized Breast Cancer Detection
We use a Doubly Robust Causal Inference algorithm to estimate the effect that a county being rural has on COVID-19 deaths per case.
Blueprint Datathon Submission
Creating a new scale for cyclist visibility based on helmet design and environmental features
Analyzing how a change in air supply will affect network equilibrium and traveler choice.
Given the factors that a user prefer, we propose a fast, scalable search algorithm to determine relevant cities for that user. We have also created an interactive R Shiny app for general use.
Creating a search engine using web scraping and clustering
A tool to help recent college graduates move to an ideal location in times of the coronavirus.
91% accurate model to determine level of risk of Covid based on user's physical details so visit to doctors can be planned and people don't panic.
Virtual health monitoring
K-Means Clustering model to find the perfect city match for you
Makes picking the fit simple by generating aesthetically pleasing color coordinated outfits in one tap.
Use of K-means clustering to connect users to the location that fits their needs.
Exploratory Data Analysis, Beautiful Tableau Visualizations, and RandomForest Bail Predictions