Projects / Local Chapter Challenge

EquiJob: Using AI to Balance Bias in Job Descriptions

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This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Toronto, Canada Chapter.

The problem

This challenge will tackle the very evident and rampant problem of discrimination that ails the job market today. This is a project that will be country agnostic. We will first start with North America and maybe then scale it up to the Rest of the World

The goals

  • Develop an AI-based Tool.
  • Understand the implementation power of NLP.
  • Build a User-Friendly Interface.
  • Improve Diversity and Inclusion.
  • Influence Industry Practices.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work

First Omdena Local Chapter Challenge?

Beginner-friendly, but also welcomes experts

Education-focused

Open-source

Duration: 4 to 8 weeks



Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations



Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset



This challenge is hosted with our friends at



Application Form

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