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AI4Good Hackathon 2019 - Montreal Edition

Descend
  • Overview
  • Participants (41)
  • Rules
  • Tables
  • Project gallery
  • Updates
  • Discussions
Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Montreal 311
Montreal 311

Our objective is to bring an innovative way to more effectively answer the 311 phone call and have some form of data learning.

Winner Winner
Abderrahim Ammour Alexandre Guilbault, P.Eng, MBA Hamzet Abid Laurie-Anne Parant + 1
3 0
Bienvenue
Bienvenue

Passive language training for busy people e.g. new immigrants

Winner Winner
Aryan Bayani Archy de Berker Didier Giovannangeli Michael N + 5
0 0
THE DREAM TEAM
THE DREAM TEAM

One solution to serve them all!

Winner Winner
Alexandra Valdescault
0 0
hawk.ai
hawk.ai

State of the art OCR model to translate millions of clinical records in the world.

Winner Winner
Chang Heng Mo Jack  Luo
0 0
Labelaide
Labelaide

Identify manually for testing purposes -> Develop NLP tools -> Data augmentation -> Key words & topics identification -> ML approach for data classification and interpretation.

Winner Winner
Hair Parra Rosie Zhao Anatoly Khomenko erez aji + 3
0 0
QuickOCR
QuickOCR

Optical Character Recognition for Digitizing Health Records

Winner Winner
Kelly Zheng Thomas Storwick Seasy
4 0
AI4Good -- Meza-OCR-Challenge
AI4Good -- Meza-OCR-Challenge

Handwritten clinical records for Optical Character Recognition

Narmada Balasooriya Kenechukwu Nnodu
0 0
wymbah -- Helping read doctor's handwriting
wymbah -- Helping read doctor's handwriting

Quickly reading handwritten numbers from medical grids

Alex Fortin Hannah Cairns BenjaminSaintCyr
3 0
OCR2Text
OCR2Text

A powerful end-to-end image translation pipeline that you can build from scratch!

Zichao Yan Shiquan Zhang
0 0
Using AI to avoid food waste
Using AI to avoid food waste

We use AI to help Moisson Montreal reduce food waste to better assist people in need.

David Landry Pooyan Ehsani Rong Feng Ulrich Aïvodji
2 0
Predicting the reason for their call
Predicting the reason for their call

Well, WHY would they be calling me? And what resourced do I need with me to do accommodate those complaints, requests etc

Parthkhanna150 Khanna
0 0
AI4Good - OCR Challenge
AI4Good - OCR Challenge

OCR Challenge Price

Nadia Tahiri Jules Lambert, PhD Antoine Hébert
0 0

1 – 12 of 12

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