Projects / Local Chapter Challenge

Enabling the Translation of Local African Languages Using Machine Learning

Challenge Started!


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This Omdena Local Chapter Challenge runs for 5 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 the Omdena Accra, Ghana chapter.

The problem

We want to solve the inadequate availability of translation technology for African languages. We believe this will greatly help with Africa’s interactivity with the rest of the Globe. This challenge in particular seeks to help with the translation of Ghanaian Languages.

The goals

  • Source for train datasets.
  • Carryout data preprocessing.
  • Develop a Machine learning model.
  • Carry out inference with the trained model using test data.
  • Develop an API to be used by individuals.

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



Application Form

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