Pregnancy is a challenging and exciting time in a family's life. To make it a little easier, we provide a tool that reminds women of the most important suggested prenatal care examinations.
Dynamic visualization of global conflicts
an energy audit without the auditor
Detecting solar connectivity with machine learning
Using data (public record, zillow, SVCE dataset) to determine when a household can realize savings from going electric and target them for retrofit.
Stock market trends' analysis for profit-driven decisions
USGS and Greenstream have water level sensors in the Virginia Beach, VA area. This project predicts water levels for location which do not have a sensor.
Ride share with like-minded anti-litter Philadelphians.
Snap lets you create totally decentralised and automatically rebalancing smart contract portfolios.
A semantic analysis of Google Location Reviews
What trends can we figure out with traffic and collisions? Using the datasets given, can we visualize and conclude if driving in a certain area, time, or day is dangerous.
A image classifier for the picnic hackathon
An exploration into the optimal subsidization strategy and PUMS dataset for Boston Area
An app that tells you how long it really takes to do a certain task.
A recommendation engine that helps consumers to make better choices towards a circular economy
Deep Learning oriented DataSet of Scanned Radiographs and much more.
Personalized clothing recommendation based on customer profile
An exploration of mortgage data using machine learning concepts and data visualization.
Exploration of Finra dataset using Scientific methods, machine learning and visualizations.
Subscription box for Tailored Brands using OmniSci API and predictive analytics
In this project, we visualize different aspects of BCycle data, analyzing according to season, day of week, and length of bicycle rental.
Sign language interpreter for Android using Google Cloud Platform // For HackXX 2019
Our technology. Your future. We strive to empower women to take control of their health, and explore their personalized treatment options using our comprehensive website.
We analyzed NBA team statistics and trained various Machine Learning classification algorithms to determine which one was the most accurate in predicting the 2019 NBA Champion.