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HudsonAlpha Virtual Tech Challenge 2021

Descend
  • Overview
  • My projects
  • Participants (81)
  • Rules
  • Project gallery
  • Updates
  • Discussions
Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.

Filter submissions

Which Division?
Teddy.
Teddy.

Your medical assistant.

Winner Winner
Eli Mrug Daniel Z. Jim Chen Federico Cassano + 1
2 0
AcceleRisk
AcceleRisk

An end-to-end integrated solution accelerating the pace of cancer diagnosis.

Winner Winner
Katsuki Chan + 1
2 0
Trick-or-Tree
Trick-or-Tree

Our user-friendly scavenger hunt webapp takes the user through a treasure map of trees. Learn how to identify trees and all about them and enjoy outdoors with friends and family!

Winner Winner
Pinwei Wu CT Chen
0 0
AL Familly of Trees: Champions Edition
AL Familly of Trees: Champions Edition

Users can identify a species and get additional information about the tree. They can pin their finds to collect, gain points, compare to other species, and share their finds with others.

Winner Winner
Daniel Heater Doug Casey Kerri Watson
0 0
Falcon
Falcon

Falcon is a platform developed to provide an AI that finds individuals who may be at risk of certain genetic diseases and builds a robust risk model based on both genetic and family history data.

Winner Winner
Bill Luu Michael Porter Jordan Davis
6 0
TROi
TROi

Genetic Counselor T.R.O.i brings together ideas and people to create an artificial intelligence solution for unconstrained and unformatted datasets for the healthcare industry.

Benjamin McGee Aidan Lear
0 0
TreeEstate
TreeEstate

Its a real estate application .. tree Yarn

jemeson007 Emeson
0 0
Treekemon GO!
Treekemon GO!

Treekemon GO is an app used to locate champion trees all over the U.S. and learn about them. You can also take pictures of these trees and upload them to iNaturalist.

Vadercat Kutner Hipster Dave
0 0
Domo Arigato Mr. Roboto HATCH Kunal
Domo Arigato Mr. Roboto HATCH Kunal

Sequential model design under categorical and numerical variable to accurately detect the severity of a cancer patient depending on their inputted data criteria.

Kunal Aneja
2 0
Trees Near Me
Trees Near Me

A Tree-Finding Webapp for the Casual Arborist

Grant Ingram
0 0
Know Your Ov
Know Your Ov

The Quick and Easy Online Ovarian Cancer Risk Assessment Survey! Made for women, by women!

Karman Morgan
1 0
Team Reest Cancer Data
Team Reest Cancer Data

We have chosen to harness the power of business intelligence networks to help with cancer risk prediction.

Marcel Girgis Eric Mellen
0 0

1 – 12 of 12

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