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Solving Hawaii's Challenges, one line of code at a time. Designed to help HECO recognize issues and opportunities for optimization in their DC Fast Charging system.
Too Many Fleet Commanders is a game-matched extension for EVE Online with hopes to iterate on the Twitch Plays crowdplay experience.
A modern dashboard for analyzing and visualizing EV charging station data, and an app to help connect consumers with available charging stations.
Ditch the browser - check grades and homework with your voice.
Using computer vision to improve post-stroke rehabilitative care.
Expedite the process of getting emergency care to those in need.
A large number of countries are in the process or have yet to transfer their medical records from paper to digital. Our solution is simple, affordable, and effective at finding data-driven insights.
Optimizing Treatment for Parkinson's Disease
A notification and communication streamlining platform to promote the general wellness of elder women in LMICs.
Health++ Hackathon Theratext project
An AR-based, offline solution for emergency professionals to administer the accurate dose of medication to pediatric patients
We’ve built a platform to democratize access to global medical data, all while keeping patient medical information private, using a concept in artificial intelligence called federated learning.
Karana Heath ID provides 3 components for creating continued health stories for refugees: prioritized offline information, encrypted online EHR linked by QR code, and an append only health ledger.
Self Service Technology (SST) to expedite emergency room service and affective nonverbal communication for health care world wide.
A light in the night
In this project, we will investigate utility of Prewitt-Sobel hybrid edge detection methods upon certain gastrointestinal specimens.
A personalized tracker for eczema triggers to prevent future flare ups
Save time by directing people to the safest and closest medical facilities.
We are trying to build a classifier mode to predict down hole failures based on sensor information
Virtual support groups, guidance for sustainable healthy routine, and affordable advocacy all in one place! Taking care of your chronic disease has never been so simple!
Using Explainable AI to show feature importance on a global level
Multi-algorithmic approach to classifying in an imbalanced dataset
This repo holds our challenge code for the ConocoPhillips Challenge
A machine learning logistic regression model for classification that predicts stripper oil well failures as either occurring down-hole or surface-level with 99% accuracy
