EquiJob: Using AI to Balance Bias in Job Descriptions
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.
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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