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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.
Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:
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.
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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
